Woods College of Advancing Studies

Master of Arts in Writing & the Human Condition (Online)

Program Description

The Master of Arts in Writing & the Human Condition offers a first-of-its-kind course of study, organized around the conviction that all distinguished writers, regardless of genre, must first be acute psychologists. On the strength of that insight, the program pursues two distinct, but intimately related ends: mastery of the technical craft of storytelling and literacy in the rich history of cross-pollination between psychology and literature. Students will take ten courses over five consecutive semesters that combine writing instruction from distinguished authors with an accelerated study of the psychological humanities from the ancient epics all the way up to contemporary best sellers. A low-residency modality will provide working professionals with the flexibility of largely asynchronous online coursework and the community of weekly one-hour meetings with their professors and cohort as well as a four-day writing retreat during the summer semester.  Graduates of the program will find their place in a conversation dating back to Gilgamesh, and they will do so through the development of both the style and insight that comprises their unique voice.

After completing this program, students will be able to:

1. Acquire knowledge of the history and structure of different genres of creative writing and their relationship to psychology 
2. Acquire the ability to interpret one’s personal and/or clinical experience in the context of the humanistic insights of the psychology
3. Develop long-form craft skills in at least one writing discipline (novels, poetry, short stories, plays, memoirs, psychodynamic case studies, or essays)
4. Develop editorial skills and learn how to provide comprehensive peer feedback
5. Acquire knowledge of the publishing process and produce professional work that aligns with industry standards 
6. Develop a network of mentors and colleagues committed to humanities-influenced creative writing

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed 
• Personal Statement 
• Letter of Recommendation (Two)
• Resume
• Application Fee 
• Writing Samples (no more than 25 pages)
• Interview (for non-native English speakers)
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)

International Students—Additional Admission Requirements

Applicants requiring a university-sponsored student visa to enroll in this program are currently not eligible to apply. 

Degree Requirements

Ten courses are required to complete the Master of Arts in Writing & the Human Condition.

Foundational I Requirements (All Required, 6 Credits Total)

• CRWR7101 Writing as a Psychological Endeavor (Foundation I)
• CRWR7102 Writing the Mind (Workshop I)

Foundational II Requirements (All Required, 6 Credits Total)

• CRWR7201 The Psychology of Tragedy (Foundation II)
• CRWR7202 The Healing Power of Writing (Workshop II)

Foundational III Requirements (All Required, 6 Credits Total)

• CRWR7301 The Psychology of Comedy (Foundation III)
• CRWR7302 Psychological Realism (Workshop III)

Capstone  I Requirements (All Required, 6 Credits Total)

• CRWR7401 Creative Writing Capstone I 
• CRWR7402 The Subconscious in Storytelling (Workshop IV)

Capstone  II Requirements (All Required, 6 Credits Total)

• CRWR7501 Creative Writing Capstone II
• CRWR7502 Life as Literature: Where Theory and Practice Meet (Workshop V)

Scheduling and Tuition

Program courses are offered online in both synchronous and asynchronous formats. All students are also required to attend an annual, in-person, four-day-long writers’ retreat that is offered only in the summer semesters. 

Information about tuition rates for the 2026-2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Science in Applied Analytics (On Campus and Online)

Program Description

The Master of Science in Applied Analytics offers practical curriculum in advanced analytics with emphasis on Machine Learning and Artificial Intelligence approaches. The focus of the program is to equip students to carry out analytics on a variety of data sets in terms of size and complexity, identify patterns and causal relationships, derive results and turn them into actionable insights, and, ultimately, communicate the insights to a variety of audiences in order to influence business or policy decisions. The curriculum instills analytic rigor, with appreciation for interaction with non-technical audiences and the need for communication and influencing skills. In addition, as a part of Boston College’s focus on formation and service to others, the ethical side of analytics is also considered whether directly through the Model Governance course or indirectly through interactions and instruction in other courses.

Graduates of MS in Applied Analytics program will be able to perform cutting-edge analytic work and be able to take data projects through the complete lifecycle from inception to delivery of insights. They will be able to communicate their findings to non-technical audiences and understand the implications of their recommendation on actual business and/or policy actions and outcomes. In short, graduates of the MS in Applied Analytics will do analytics not for sake of analytics, but to drive real impact.

The Master of Science in Applied Analytics is a ten-course degree program. The program can be completed in a twelve-month period, but is designed to be flexible in meeting student needs, allowing students to attend full- or part-time. Applications are accepted on a rolling basis for admission in the Fall, Spring and Summer semesters. All undergraduate majors are encouraged to apply.

Program graduates will be able to:

1. Design analytic approaches to solve complex problems
2. Understand and deploy advanced analytic techniques in search of actionable insights
3. Use machine learning and artificial intelligence tools and approaches to leverage data for business and policy decision-making
4. Draw insights from analytics and communicate them clearly to non-technical audiences
5. Drive real impact based on results and insights from analytics

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed
• Personal Statement
• Letters of Recommendation (Two)
• Resume
• Application Fee
• Prerequisite courses: Statistics and Calculus I*
• Video Essay
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)—recommended for students with lower undergraduate GPA

*Note: CLEP exam score of 56 or higher is acceptable in lieu of a passing grade from an accredited undergraduate program.

International Students—Additional Admission Requirements

• Please review the International Students page for details on additional admission requirements for international students. International students should contact Woods College Admissions with any questions.

Degree Requirements

Ten courses are required to complete the Master of Science in Applied Analytics.

Foundational Requirements (All Required, 6 Credits*)

• ADAN7220 Mathematical Methods for Machine Learning I
• ADEC7301 Data Analysis

*Students who have taken Linear Algebra in their undergraduate studies can obtain Course Equivalence for ADAN7220. Students who have completed advanced Statistics courses such as Econometrics in their undergraduate studies can obtain course equivalence for ADAN/ADEC7301. Course Equivalence does not result in reduction of required credits, but allows students to enroll in electives instead of fundamental courses.

Core Requirements (All Required, 12 Credits)

• ADAN/ADEC7430 AI Algorithms I/Big Data Econometrics
• ADAN7500 Algorithmic Ethics and Governance—from Traditional to AI/ML
• ADAN7603 AI Algorithms II
• ADAN7905 AI/ML Software Tools and Platforms

Project Requirements (All Required, 3 Credits)

• ADAN8888 Applied Analytics Project

Electives Requirements (Selected from the Following, Minimum of 9 Credits**)

• ADAN/ADEC7320 Regression Models/Econometrics
• ADAN7399 Computer Vision
• ADAN/ADEC7401 Operations Research
• ADAN/ADEC7406 Predictive Analytics/Forecasting
• ADEC7421 Applied Econometrics for Causal Inference
• ADAN7431 Natural Language Processing
• ADAN/ADEC7470 Advanced Econometrics
• ADAN7520 Product Management in Machine Learning
  
• ADEC7221 Real Analysis: The Theory of Calculus
• ADAN7735 Visual Analytics
• ADAN7800 Foundations of Generative AI: Techniques, Tools, and Applications

*In consultation with their Advisor and/or Program Director, students can take other electives from the Applied Economics program.

**Students who have undergraduate preparation that allows for a course equivalence for Fundamental Courses, can take 6 credit hours of electives.

Scheduling and Tuition

Program courses are scheduled ordinarily meeting one time per week starting in the late afternoons on weeknights and during the day on Saturdays. Courses meet face-to-face or online in a variety of formats. Students can complete the program in either modality or combine classes according to their schedule.

Information about tuition rates for the 2026–2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Science in Applied Economics (On Campus and Online)

Program Description

The Master of Science in Applied Economics offers a practical and comprehensive curriculum to students interested in acquiring skills related to the analysis and interpretation of data across a variety of fields. Through training in Economic theory, graduates will be equipped to understand the context of data they are analyzing, and through training in cutting-edge analytic techniques, they will be able to analyze the data, interpret and present results to decision makers, and make recommendations bolstered by the results of the data analysis. The focus of the program is on preparing graduates to use rigorous analytic approaches to provide actionable insights for their organization. The program provides individuals with extensive training in the tools and methods necessary for understanding complex policy issues, industry trends, and analytic strategies within fields and industries including health care, finance, marketing, and environmental policy. These skills are developed within a curricular framework that emphasizes reflective, people-centered, ethical decision making reflected in a Jesuit, Ignatian tradition. The program is intended for individuals seeking to begin or advance their careers in industry, policy and government, or non-profit sector.

The Master of Science in Applied Economics is a ten-course degree program. The program can be completed in a twelve-month period, but is designed to be flexible in meeting student needs, allowing students to attend full- or part-time. Applications are accepted on a rolling basis for admission in the Fall, Spring and Summer semesters. All undergraduate majors are encouraged to apply.

Program graduates develop career skills that include:

1. Use of economic models to analyze the choices made by consumers, investors, firms, and governments
2. Utilizing macro and microeconomic models in order to analyze business, policy, and social issues and decisions
3. Interpreting and analyze macroeconomic data to formulate economic policy and to evaluate the impact of macroeconomic events and forces on their organization
4. Practical knowledge of data analysis including econometric and non-econometric approaches
5. Applying economic models and econometric techniques in the context of economic analysis in order to address practical business or policy issues
6. Use of statistical/econometric software packages
7. Ability to evaluate the ethical ramifications of economic policy proposals

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed
• Personal Statement
• Letter of Recommendation (Two)
• Resume
• Application Fee
• Video Essay
• Prerequisite courses: Principles of Microeconomics,* Principles of Macroeconomics,* Statistics,* Calculus I,*
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)—recommended for students with lower undergraduate GPA

*Notes: CLEP exam score of 56 or higher is acceptable in lieu of a passing grade from an accredited undergraduate program.

International Students—Additional Admission Requirements

Please review the International Students page for details on additional admission requirements for international students. International students should contact Woods College Admissions with  any questions.

Degree Requirements

Ten courses are required to complete the Master of Science in Applied Economics.

Core Requirements (All Required, 15 Credits)

• ADEC7200 Applied Macroeconomic Theory
• ADEC7201 Applied Microeconomic Theory
• ADEC7219 Mathematical Economics
• ADEC7310 Data Analysis
• ADEC7320 Econometrics
• ADEC7500 Ethics, Economics and Public Policy

Electives Requirements (Selected from the Following, 12 Credits*)

• ADEC7220 Linear Algebra and Vector Calculus
• ADEC7221 Real Analysis: The Theory of Calculus
• ADEC7340 Advanced Urban and Regional Economics
• ADEC7350 Economics of Banking and Insurance
• ADEC7360 Financial Economics
• ADEC7370 Applied Stress Testing for Economists
• ADEC7380 Empirical Health Economics
• ADEC7390 Empirical Money and Banking
• ADEC7401 Operations Research in Applied Economics
• ADEC7460 Predictive Analytics/Forecasting
• ADEC7420 Development Economics
• ADEC7421 Applied Econometrics for Causal Inference
• ADEC7422 Economic Modeling for Policy Analytics
• ADEC7430 Big Data Econometrics
• ADEC7450 Private Sector Development and Economic Growth
• ADEC7500 Ethics, Economics and Public Policy
• ADEC7510 Law and Economics
• ADEC7520 Transfer Pricing
• ADEC7530 Measuring Business Cycles, Trends and Growth Cycles
• ADEC7550 Empirical Labor Economics
• ADEC7735 Visual Analytics 
• ADEC7810 Empirical Behavioral Economics
• ADEC7820 Economics of Innovation and Entrepreneurship
• ADEC7830 Communication and Leadership in Applied Economics
• ADEC7840 Management of Projects in Applied Economics
• ADEC7910 Software Tools for Data Analysis
• ADEC7920 Market Research and Analysis
• ADEC7930 Fundamentals of Private Equity
• ADEC7940 Environmental and Natural Resource Economics
• ADEC8880 Directed Practicum
  
• ADEC8881 Internship in Applied Analytics

*Students can also take electives from the Applied Analytics program in consultation with their advisor and Program Director. 

Scheduling and Tuition

Program courses are scheduled ordinarily meeting one time per week starting in the late afternoons on weeknights and during the day on Saturdays. Courses meet face-to-face or online in a variety of formats. Students can complete the program in either modality or combine classes according to their schedule. Students who complete the required courses for the Graduate Certificate in Data Analytics will be awarded the Certificate at the time of conferral of the Master degree.

Information about tuition rates for the 2026–2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Healthcare Administration (Online)

Program Description

The Master of Healthcare Administration (MHA) program provides a comprehensive perspective of our health systems by incorporating contemporary challenges and emerging trends from across healthcare related industries. The MHA program fosters academic growth, supports career development, and prepares graduates to drive organizational change across rapidly transforming health systems. 

The Master of Healthcare Administration (MHA) is a twelve-course degree program for part-time and full-time students who are at various career stages. Most students choose to take one course every seven weeks (two courses per semester) and complete the program in two years. Some students elect to take more than one course every seven weeks to progress more quickly through the curriculum. The accelerated courses, which are offered in seven-week sessions, help students gain knowledge in core areas across our health systems.

Students come from across the nation, and from a broad range of settings, including health systems management, insurance providers, as well as biotechnology, pharmaceutical, and medical device industries. The program also attracts new graduates, and others who aspire to pivot into healthcare related industries, along with individuals wanting to further develop and/or advance their careers.

After completing the program, students will be able to: 

1. Articulate how leaders develop a vision, energize stakeholders, and inspire shared commitments to achieve ethical goals.
2. Apply ethical decision-making to address challenges and barriers across organizations, ensuring justice, equity, and inclusion.
3. Analyze the impact of laws and regulations on health practitioners, organizations, and the population.
4. Examine the business, demographic, cultural, political, and regulatory implications of decisions and develop strategies that improve the long-term success and viability of organizations across the health ecosystem.
5. Apply information technology and decision-support tools to advance continuous improvement and digital transformation.
6. Formulate unbiased frameworks, approaches, and metrics as part of assessing functional areas and organizational infrastructure.
7. Evaluate the implications of project risk, quality management issues, and economic impact across the health ecosystem.

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed
• Personal Statement
• Letter of Recommendation (Two)
• Resume 
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)

Note: Applicants whose undergraduate GPA is below 3.0 will be considered for admission. Such applications will be considered holistically, including letters of recommendation, personal statement, and professional experience. 

International Students

Applicants requiring a university-sponsored student visa to enroll in this program are currently not eligible to apply. 

Degree Requirements

Twelve courses are required to complete the Master of Health Administration, ten core courses and two electives for a total of 36 credits.

Core Requirements (All Required, 30 Credits)

• ADHA7000 Blueprints of Care: Mapping Health Systems and Structures for Population Health (3 credits)
• ADHA7010 From Capitol to Clinic: The Intersection of Health Policy and Practice (3 credits)
• ADHA7015 Innovative Leaders: Transformational Health Leadership (3 credits)
• ADHA7025 The Price of Care: Financial Decision-Making in Healthcare (3 credits)
• ADHA7033 Healthcare Ethics: Integrity, Values, and Real-World Decisions (3 credits)
• ADHA7035 Innovation in Action: Teams Driving Changes in Health   (3 credits)
• ADHA7040 High Reliability Healthcare: Quality Improvement Methods and Tools (3 credits)
• ADHA7045 From Data to Decisions: Health and Healthcare Analytics (3 credits)
• ADHA7050 Smart Healthcare: Digital Strategies and Business Models (3 credits)
• ADHA7055 The Architecture of Strategy: Generating Sustainable Healthcare Paradigms (3 credits)
• ADHA7090 Insight and Impact: Discerning Solutions for Social Justice in Health (3 credits)

Elective Requirements (Two Courses Selected from the Following, 6 Credits)

Students choose 6 credits total (2 courses) from the following healthcare electives below to complete their degree program.

MHA Electives

• ADHA7005 Management Theory and Organizational Behavior (3 credits)
• ADHA7020 Workforce Futures: AI-Driven Transformation and Human Flourishing(3 credits)
• ADHA7060 Execute Excellence: Project Management in Healthcare (3 credits)
• ADHA7065 AI and Emerging Technologies: Ethical Applications in Products, Services, and Marketing  (3 credits)
• ADHA7070 Medical Device Advancement: Navigating the Regulatory Landscape (3 credits)
• ADHA7075 Drug Discovery and Product Regulations (3 credits)
• ADHA7080 Human-Centered Healthcare: Executive Perspectives for AI Implementation (3 credits)
• ADHA7101 Readings and Research (1-4 credits)
• ADHA7800 Epidemiology, Biostatistics, and Data Analysis (3 credits)

MHA Concentrations

Though not required, students may also elect to complete one concentration area. Requirements for each concentration are listed below. 

Graduate Concentration in Artificial Intelligence and Human Flourishing in Health (AIHFH)

A concentration in Artificial Intelligence and Human Flourishing prepares healthcare leaders to design, govern, and deploy artificial intelligence systems that improve quality, access, efficiency, and workforce sustainability while advancing human dignity, equity, and the common good.

Complete the the following (12 Credits Total)

• ADHA7050 Smart Healthcare: Digital Strategies and Business Models*
• ADHA7020 Workforce Futures: AI-Driven Transformation and Human Flourishing** 
• ADHA7065 AI and Emerging Technologies: Ethical Applications in Products, Services, and Marketing** 
• ADHA7080 Human-Centered Healthcare: Executive Perspectives for AI Implementation** 

*May fulfill both a MHA Degree Core Course and the Graduate Concentration in AIHFH Required Course

** Taken as MHA Degree Electives, one of these may be approved to waive a MHA Degree Required Course

Graduate Concentration in Sports and Restorative Health Leadership (SRHL)

A concentration in Sports and Restorative Health Leadership prepares students pursuing leadership roles in sports medicine, performance health, and the rehabilitative sciences suite.

Complete the following (12 Credits Total)

• ADHA7015 Innovative Leaders: Transformational Health Leadership* 
• ADHA7040 High Reliability Healthcare: Quality Improvement Methods and Tools* 
• ADSA8005 Health and Wellness in Athletics and Sports Management 
• ADSA8008 Sport Psychology

*May fulfill both a MHA Degree Core Course and Graduate Concentration in SRHL Required Course

Scheduling and Tuition

Program courses are offered online asynchronously with an optional weekly discussion hour.

Information about tuition rates for the 2026–2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Science in Leadership (On Campus and Online)

Program Description

The Master of Science in Health Analytics (MSHA) program is designed to equip students with the advanced analytical, technical, and strategic competencies required to address complex challenges within rapidly evolving healthcare systems. The MSHA program offers interdisciplinary training that integrates healthcare policy, organizational dynamics, and advanced data analytics. Its innovative curriculum adds value to individuals with: undergraduate degrees in quantitative and health-related disciplines, mid-career healthcare professionals seeking to upskill, and individuals transitioning into the health sector from data science and analytics roles.

The demand for skilled professionals in health analytics is rapidly growing. Health systems, insurers, public health agencies, and healthcare technology firms are increasingly relying on data-driven strategies to improve population health, streamline operations, and enhance clinical decision-making. This program will produce graduates who are prepared to lead and innovate in this data-centric landscape.

The MSHA offers a 10-course, 30 credit hour, mission-driven, flexible, and professionally relevant pathway for students who aspire to make a meaningful difference in healthcare. The MSHA will leverage the Jesuit commitment to ethical leadership, social justice, and interdisciplinary education - preparing graduates to lead transformation across clinical, public health, and policy settings.  

After completing the program, students will be able to:

1. Apply quantitative, statistical, and epidemiological methods to analyze healthcare, clinical, and population health data in support of evidence-based decision making. 
2. Design, implement, and evaluate machine learning and artificial intelligence models for healthcare applications using structured, unstructured, and high-dimensional data. 
3. Analyze healthcare systems and population health dynamics to assess performance, identify disparities, and inform policy, operational, and strategic interventions.
4. Manage, engineer, and integrate healthcare data assets using appropriate data architectures, pipelines, and interoperability standards while ensuring data quality and reliability.
5. Evaluate and apply legal, ethical, privacy, and security principles governing healthcare data and AI systems, including responsible algorithmic governance.
6. Apply advanced analytical and decision-support methods (e.g., predictive analytics, simulation, optimization, recommender systems, and visual analytics) to complex healthcare problems.
7. Communicate and translate analytic findings effectively to clinical, operational, and policy stakeholders using clear narratives, visualizations, and decision-support tools.
8. Independently execute an applied health analytics project demonstrating end-to-end competence from problem formulation through professional presentation.

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official transcripts from colleges/universities where courses were completed 
• Statement of purpose 
• Letters of recommendation (two)
• Resume 
• Application Fee
• Prerequisite courses: Statistics and Calculus I
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)— recommended for students with lower undergraduate GPA

International Students—Additional Admission Requirements 

Please review the International Students page for details on additional admission requirements for international students. International students should contact Woods College Admissions with any questions. 

Degree Requirements 

Ten courses are required to complete the Master of Science in Health Analytics. 

Foundation Requirements (All Required, 6 Credits Total)

• ADAN7220 Mathematical Methods for ML 
• ADHA8000 Epidemiology, Biostatistics, and Data Analysis 

Core Requirements (All Required, 15 Credits Total)

• ADHA7000 Blueprints of Care: Mapping Health Systems and Structures for Population Health 
• ADAN7430 ML/AI Algorithms I
• ADAN7500 Algorithmic Ethics and Governance 
• ADHA7510 Data Management & Data Engineering for Healthcare 
• ADAN8888 Analytics Applied Project 

Electives Requirements (Selected from the following, 9 Credits Total) 

• ADAN7399 Computer Vision 
• ADAN7401 Operations Research 
• ADAN7406 Predictive Analytics 
• ADAN7431 Natural Language Processing 
• ADAN7520 Product Management in Machine Learning 
• ADAN7603 AI Algorithms II 
• ADAN7735 Visual Analytics 
• ADAN7800 Foundations of Generative AI
• ADAN7900 Software Tools for Data Analysis 
• ADAN7905 AL/ML Software Tools & Platforms
• ADHA7700 Population Health Analytics
• ADHA7750 Recommender Systems & the EHR

Scheduling and Tuition

Program courses are ordinarily scheduled in the late afternoons on weeknights. Courses meet face-to-face and most courses are offered online. 

Information about tuition rates for the 2026-2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Science in Leadership (On Campus and Online)

Program Description

The M.S. in Leadership (MSL) is designed to create the leaders the world needs now. It is based on Ignatian values that translate to leadership excellence. The degree program summarizes this philosophy of leadership excellence in three principles that inspire commitment to and capabilities for transforming one’s leadership: enriching one’s self; engaging all; and creating the future. 

The program’s learning outcomes include striving to serve a higher purpose; cultivating self-awareness and commitment to life-long learning and growth; demonstrating care and compassion for all; and thinking critically and comprehensively to formulate and resolve complex, ill-structured challenges and problems. 

The M.S. in Leadership consists of six core courses and four elective courses. For the elective options, students may select a concentration (4 courses) or four of the leadership elective courses.  

After completing the program, students will be able to: 

1. Demonstrate the ability to lead with purpose and integrity, translating vision into measurable results that advance organizational effectiveness and contribute to the common good.
2. Demonstrate disciplined reflection and discernment to make well-reasoned, values-based decisions and foster personal and professional growth.
3. Demonstrate critical, strategic, and systems thinking to diagnose organizational challenges, apply evidence to decision-making, and formulate effective solutions.
4. Demonstrate empathy, clarity, and inclusion in building relationships that foster trust, teamwork, and shared purpose across diverse stakeholders.
5. Demonstrate the capability to design, implement, and evaluate change initiatives that produce tangible, sustainable improvements in organizations and communities.

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed
• Statement of purpose 
• Letters of recommendation (two) Note: At least one academic recommendation is required if the applicant has graduated within the past five years, 
• Resume
• Application Fee
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)— recommended for students with lower undergraduate GPA

Tracks

When applying to the MSL, applicants will have to select either the Leadership Track or the Executive Track. Admission to either of the two tracks is dependent on an applicant’s level of professional experience. 

Leadership Track: The Leadership Track is the pathway for applicants who are early in their careers. Applicants with less than 8 years of full-time work experience should apply for this track.

Executive Track: The Executive Track of the MS in Leadership is the pathway for applicants who have a minimum of 8 years of full-time work experience.  Successful applicants to the Executive Track not only have significant years of work experience, but also demonstrated leadership experience including managing people, processes, or projects.

International Students—Additional Admission Requirements

Please review the International Students page for details on additional admission requirements for international students. International students should contact Woods College Admissions with any questions. 

Note, because of its online format, the executive track does not support F-1 visas.

Degree Requirements

Core Requirements 

Students will complete the core requirements for the track that they were admitted under—leadership or executive.

Leadership Core Requirement (All Required, 18 Credits)

• ADLP7000 Daring to Lead
• ADLP7001 Leading Through Words: Crafting Impactful Messages
• ADLP7002 The Self-Aware Leader 
• ADLP7003 Leading Change from the Middle 
• ADLP7004 Problem Solving Through Critical Thinking
• ADLP7005 Leading with and for Others

Executive Core Requirements (All Required, 18 Credits)

• ADLP7500 Leading Thinking for Executive Decision-making
• ADLP7501 Fostering Dignity and Belonging 
• ADLP7502 Emotional and Social Intelligence Deep Dive 
• ADLP7503 Leading at the Crossroads of Change  
• ADLP7504 Innovation through Problem-Solving 
• ADLP7505 Activating the Soul, Heart, and Mind of Leadership

Elective Requirements

Students choose 12 credits (4 courses) from the following leadership electives below to complete their degree program. If a student wants to receive recognition for the completion of a concentration, then they would need to complete 12 credits (4 courses) from one of the concentrations listed below.

Corporate Communications and Marketing Concentration

• ADLP8300 The CCO Toolkit: Strategic Communications for Organizational Success
• ADLP8305 Cross Cultural Communication 
• ADLP8350 The CMO’s Guide to Integrated Marketing Strategies 
• ADLP8351 The Power of Strategic Storytelling

Human Resources Management Concentration

• ADLP8501 Pathway to CHRO: Strategies for HRM* 
• ADLP8503 HR Analytics
• ADLP8504 Leading the Future of Work
• ADLP8505 Just Leadership: Creating Inclusive Workplaces
• ADLP8506 Re-Imagining Performance Management

* Required for the concentration

Management and Organizational Excellence Concentration

• ADLP7525 Leader as Coach*
• ADLP8100 Power, Influence, and Persuasion 
• ADLP8101 The Flourishing Leader: Cultivating Well-being and High Performance 
• ADLP8102 Leading High Performing Teams
• ADLP8103 Art and Science of Strategy

*Course for executive track students only

Project Management Concentration

• ADLP8600 Project Management
• ADLP8601 Risk Management/Quality Management 
• ADLP8603 Agile Methodologies 
• ADLP8605 Leveraging Data in Project Management

Scheduling and Tuition

Program courses are ordinarily scheduled starting in the late afternoons on weeknights. Courses meet face-to-face and most courses are offered online. All Executive Track core courses are offered online only. 

Information about tuition rates for the 2026–2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Science in Sports Administration (On Campus, Hybrid, and Online*)

*Only working professionals with one or more years of experience in the sports industry may complete this program online.

Program Description

The mission of the Master of Science in Sports Administration (MSSA) program is to prepare graduate students with skill sets to become the next generation of ethical leaders, decision makers, educators, and managers in the sport industry. The Sport Administration program promotes the pursuit of excellence by providing: curricular and co-curricular educational experiences; faculty with extensive current real-world experience, and opportunities for student engagement and service learning in partnership with Boston College Athletics, regional colleges and universities as well as the Boston professional sport teams. 

After completing this program, students will be able to:

1. Apply knowledge and skills to develop best-practice approaches within sports administration
2. Apply knowledge gained from coursework to sports administrative experiences
3. Demonstrate problem-solving, communication and critical thinking skills reflective of humanistic, Catholic, and Ignatian ideals about personal and social issues within sports-related organizations
4. Formulate career opportunities through professional development, networking, and career coaching

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed
• Personal Statement
• Letter of Recommendation (Two) *If the student has graduated less than 5 years ago, an academic recommendation is required
• Resume
• Application Fee
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)— recommended for students with lower undergraduate GPA

International Students—Additional Admission Requirements

Please review the International Students page for details on additional admission requirements for international students. International students should contact Woods College Admissions with any questions. 

Course Offerings

Core Requirements (All Required, 15 Credits)

• ADSA7501 Survey of Sports Administration
• ADSA7502 Sports Marketing and Communication
• ADSA7503 Sports Finance
• ADSA7504 Sports Law and Compliance
• ADSA7585 Sports Leadership & Ignatian-based Ethics

Select one of the following: 

• ADSA9001 Sports Administration Internship
• ADSA9902 Applied Sports Administration Project

Elective Requirements (Selected from the Following, 12 Credits)

• ADSA7506 Athlete Entrepreneurship: Exploring Opportunities Created by NIL
• ADSA7507 Social Media in Sports: Driving Fan Engagement
• ADSA8002 Issues and Challenges Affecting the Student-Athlete
• ADSA8003 Globalization of Soccer in the United States
• ADSA8004 Diversity and Inclusion in Sports
• ADSA8005 Health & Wellness in Athletics & Sports Admin
• ADSA8007 Revenue Generation in Sports
• ADSA8008 Sport Psychology
• ADSA8010 Coaching for Performance & Student Athlete Development
• ADSA8012 Sports Media and Public Affairs
• ADSA8015 Sports Analytics
• ADSA8018 The Athletic Director
• ADSA8020 Operations and Event Management
• ADSA8025 Sport Security and Event Management
• ADSA8030 The Business of the NFL
• ADSA 9102 Applied Goal Achievement*
• ADSA9102 Applied Sports Administration Project* 
• ADLP7003 Leading Change from the Middle* 
• ADLP8102 Leading High Performing Teams*

*Permission from the MSSA Program Director is required to register. At the discretion of the MSSA Graduate Program Director, these courses may be used as a substitute for a core requirement. 

Scheduling and Tuition

Program courses are ordinarily scheduled, meeting one time per week starting in the evenings on weeknights. Courses meet face-to-face, hybrid, and online. Students can complete the program in either modality or combine classes according to their schedule.

Information about tuition rates for the 2026–2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Master of Science in Sports Analytics (On Campus and Online)

Program Description

The Master of Science in Sports Analytics program at Boston College equips students to meet the growing demand for data-literate professionals in the evolving sports industry. As sports organizations increasingly rely on data to drive decisions—from player performance and marketing to revenue generation and compliance—there is a need for professionals who can analyze data, interpret its significance, and communicate insights clearly to diverse audiences. The program prepares students to navigate this environment by emphasizing both technical skills and industry-specific knowledge from coursework in data analytics, sports administration, and economics. 

The program has three primary goals:

1. To equip students with the technical and domain-specific skills necessary for careers in sports analytics
2. To foster critical thinking and ethical decision-making
3. To prepare students to work effectively across various areas of the sports industry, including performance analysis, marketing, and operations

Through hands-on learning and interdisciplinary coursework, graduates will be well-prepared to interpret and apply complex data to real-world challenges in sports—helping organizations make informed, ethical decisions and gain a competitive advantage.

After completing this program, students will be able to:

1. Analyze or improve on-field or on-court performance 
2. Forecast sales and revenues 
3. Evaluate marketing efforts 
4. Enhance player recruitment strategies 
5. Support student-athlete health and wellness
6. Uphold commitments to initiatives like Title IX

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Completion of both an undergraduate Calculus I and Statistics course
• Official academic transcripts from colleges/universities where courses were completed
• Personal Statement
• Letter of Recommendation (Two) *If the student has graduated less than  years ago, an academic recommendation is required
• Resume
• Application Fee
• Optional—GRE (reporting code 7534) or GMAT (reporting code 44X-HX-47)— recommended for students with lower undergraduate GPA

International Students—Additional Admission Requirements

Please review the International Students page for details on additional admission requirements for international students. International students should contact Woods College Admissions with any questions. 

Course Offerings

Ten courses are required to complete the Master of Science in Sports Analytics.

Foundational Requirements (All Required, 6 Credits*)

• ADAN7220 Mathematical Methods for Machine Learning I
• ADAN7310 Data Analysis

*Students who have taken Linear Algebra in their undergraduate studies can obtain Course Equivalence for ADAN 7220. Students who have completed advanced Statistics courses such as Econometrics in their undergraduate studies can obtain course equivalence for ADAN7310. Course Equivalence does not result in reduction of required credits, but allows students to enroll in electives instead of fundamental courses.

Core Requirements (All Required, 21 Credits)

• ADAN7320 Econometrics 
• ADAN7430 ML/AI Algorithms I 
• ADSA7501 Survey of Sports Administration
• ADSA7585 Sports Leadership & Ignatian-based Ethics
• ADSA8015 Sports Analytics
• ADSA8015 Player Performance Modeling & Applied Analytics in Sport
• ADSA9902 Applied Sports Administration Project

Elective Requirements (Selecte one from the Following, 3 Credits Total)

• ADAN7399 Computer Vision 
• ADAN7410 Operations Research in Applied Economics 
• ADAN7431 Natural Language Processing 
• ADAN7520 Product Management in Machine Learning 
• ADAN7630 AI Algorithms II
• ADAN7800 Foundations of Generative AI: Techniques, Tools, and Applications
• ADAN7915 AI/ML Software Tools and Platforms 
• ADEC7470 Advanced Econometrics 
• ADEC7610 Empirical Sports Economics 
• ADEC7840 Management of Projects in Applied Economics
• ADSA7502 Sports Marketing and Communication 
• ADSA7503 Sports Finance 

Scheduling and Tuition

Program courses are ordinarily scheduled, meeting one time per week starting in the evenings on weeknights. Courses meet face-to-face, hybrid, and online. Students can complete the program in either modality or combine classes according to their schedule.

Information about tuition rates for the 2026–2027 academic year is available on the Tuition and Fees page. Students are assessed an activity fee in the Fall and Spring Semesters.

Dual Master of Science in Applied Economics and Applied Analytics (On Campus and Online)

Program Description

To prepare students to work in the field of Analytics and to understand the data analytic component of the Applied Economics field, the Woods College offers a dual degree program in Applied Economics and Applied Analytics.

Application Requirements

Applicants should apply to each program separately and must be independently admitted into both programs. Applicants must satisfy all requirements for admission for both programs, including necessary background courses.

Course Offerings

Core Requirements (All Required, 15 Credits*)

• ADAN7220 Mathematical Methods for Machine Learning I
• ADEC7301 Data Analysis
• ADEC7320 Econometrics
• ADAN/ADEC7430 AI Algorithms I / Big Data Econometrics
• ADEC7460 Predictive Analytics/Forecasting

*Students who have taken Calculus II and Linear Algebra in their undergraduate studies can obtain Course Equivalence for ADAN 7220. Students who have completed advanced Statistics courses such as Econometrics in their undergraduate studies can obtain course equivalence for ADAN/ADEC 7310. Course Equivalence does not result in reduction of required credits, but allows students to enroll in electives instead of fundamental courses.

MSAE Core Requirements (All Required, 6 Credits)

• ADEC7200 Applied Macroeconomic Theory
• ADEC7201 Applied Microeconomic Theory

MSAA Core Requirements (All Required, 6 Credits)

• ADAN7905 AI/ML Software Tools and Platforms
• ADAN7603 AI Algorithms II

Ethics Requirements (Choose One, 3 Credits)

• ADEC7500 Ethics, Economics, and Public Policy
• ADAN7500 Algorithmic Ethics and Governance—from Traditional to AI/ML

Applied Research Project Requirements (3 Credits)

• Applied Research Project would combine topics in Analytics and Economics.

Electives Requirements (Select Two Courses from MSAE and Two Courses from MSAA, 12 Credits)

• Confirm elective selections with Graduate Program Director.

Dual Master of Science in Applied Economics and Sports Analytics (On Campus and Online)

Program Description

The Master of Science in Applied Economics & Sports Analytics is a dual degree interdisciplinary program that combines economic theory with data science to prepare students for impactful decision-making in the sports industry and beyond. Students gain hands-on experience through real-world projects, using advanced tools in econometrics, game theory, and predictive modeling to solve challenges in sports and related sectors. Graduates leave with a strong foundation in applied economics and a specialized skill set in sports analytics, ready to lead in various data-driven roles.

Application Requirements

Applicants need to apply to each program separately and must be independently admitted into both programs. Applicants must satisfy all requirements for admission for both programs, including necessary background courses.

Course Offerings

Foundational Requirements (All Required, 6 Credits*)

• ADAN7220 Mathematical Methods for Machine Learning I
• ADAN7310 Data Analysis

*Students who have taken Linear Algebra in their undergraduate studies can obtain Course Equivalence for ADAN 7220. Students who have completed advanced Statistics courses such as Econometrics in their undergraduate studies can obtain course equivalence for ADAN7310. Course Equivalence does not result in reduction of required credits, but allows students to enroll in electives instead of fundamental courses.

Core Requirements (All Required, 30 Credits)

• ADAN7230 Econometrics
• ADAN7430 ML/AI Algorithms 
• ADEC7200 Applied Microeconomic Theory 
• ADEC7201 Applied Macroeconomic Theory
• ADEC7500 Ethics Economics and Public Policy
• ADSA7501 Survey of Sports Administration 
• ADSA7585 Sports Leadership & Ignatian-based Ethics
• ADSA8015 Sports Analytics
• ADSA8035 Player Performance Modeling & Applied Analytics in Sport
• ADAN8888 Applied Analytics Project

Applied Economics Elective Requirements (Selected from the following, 6 Credits)

• ADEC7101 Directed Readings and Research 
• ADEC7220 Linear Algebra and Vector Calculus 
• ADEC7340 Advanced Urban and Regional Economics
• ADEC7350 Economics of Banking and Insurance 
• ADEC7360 Financial Economics 
• ADEC7370 Applied Stress Testing for Economists 
• ADEC7380 Empirical Health Economics 
• ADEC7390 Empirical Money and Banking 
• ADEC7406 Predictive Analytics/Forecasting 
• ADEC7410 Operations Research in Applied Economics
• ADEC7420 Development Economics 
• ADEC7421 Applied Econometrics for Causal Inference
• ADEC7422 Economic Modeling for Policy Analytics 
• ADEC7430 Big Data Econometrics
• ADEC7450 Private Sector Development and Economic Growth 
• ADEC7500 Ethics, Economics and Public Policy
• ADEC7510 Law and Economics 
• ADEC7520 Transfer Pricing
• ADEC7530 Measuring Business Cycles, Trends and Growth Cycles 
• ADEC7550 Empirical Labor Economics 
• ADEC7810 Empirical Behavioral Economics 
• ADEC7820 Economics of Innovation and Entrepreneurship
• ADEC7830 Communication and Leadership in Applied Economics 
• ADEC7840 Management of Projects in Applied Economics 
• ADEC7900 Software Tools for Data Analysis 
• ADEC7920 Market Research and Analysis 
• ADEC7930 Fundamentals of Private Equity 
• ADEC7940 Environmental and Natural Resource Economics 
• ADEC8880 Directed Practicum 
• ADAN7399 Computer Vision 
• ADAN7431 Natural Language Processing 
• ADAN7530 Product Management in Machine Learning 
• ADAN7603 AI Algorithms II
• ADAN7905 AI/ML Software Tools and Platforms 
• ADAN8888 Applied Analytics Projects

Sports Administration Elective Requirements (Select one from the following, 3 Credits)

• ADSA7502 Sports Marketing and Communication 
• ADSA7503 Sports Finance 

Graduate Certificates

The Graduate Programs at Woods College of Advancing Studies offer several graduate certificates. Each certificate requires the completion of several courses that build students’ knowledge and skills that are aligned with industry needs.

Prospective students may apply for a certificate program without becoming a Masters’ program student. Students who are or will be enrolled in one of the Masters’ degrees, may only take a graduate certificate if the certificate is fully outside their degree program. 

A certificate may be completed at the same time as a degree program only if the certificate and degree program are independent of one another. Once a student is enrolled in a graduate degree program, the certificate, if within the same program, will become a concentration. Students may complete only one concentration in a degree program. 

If a student completes a graduate certificate and within 5 years enters a degree program, the graduate certificate may be applied toward the degree program, if those courses are determined to be the equivalent of courses required for the degree. 

For more information about the graduate certificates please contact the respective Graduate Program Directors or Graduate Student Advisors.

Admission Requirements

• Bachelor’s degree from a regionally accredited college/university (minimum GPA 3.0)
• Official academic transcripts from colleges/universities where courses were completed
• Personal Statement
• Letter of Recommendation (One)
• Writing Sample*

*A writing sample is only required for the Graduate Certificate in Writing & the Human Condition.

Note: Applicants whose undergraduate GPA is below 3.0 will be considered for admission. Such applications will be considered holistically, including letter of reference, personal statement, and industry experience. For particular applicants, they may take a course within the certificate program as “non-degree student” and, if they pass the course with a B or better, their application to the certificate program may be reconsidered.

International Students

Applicants requiring a student Visa to enroll in the graduate certificate programs are currently not eligible to apply for the graduate certificate. 

Graduate Certificate Completion Requirements

• Students must receive at least a grade of C for each course credited toward the certificate.
• Students must have a cumulative GPA of 3.0 to receive a certificate of completion.
• Certificate requirements should be completed within two years of initial enrollment.

Data Analytics Graduate Certificate (On Campus and Online)

Offered by the M.S. in Applied Economics Program

Offered by the M.S. in Applied Economics Program—All four courses are offered in 7-week terms and can be completed in 8 months. The courses are for-credit and can be transferred into the Boston College Master of Science in Applied Economics degree program. Students enrolling in this graduate certificate must have completed a college-level statistics course.

Graduate Certificate in Data Analytics

Requirements (All Required, 12 credits total)

• ADEC7301 Data Analysis
• ADEC7320 Econometrics
• ADEC7430 Big Data Econometrics
• ADEC7406 Predictive Analytics/Forecasting

Leadership Graduate Certificates (On Campus and Online)

Offered by the M.S. in Leadership Program

The courses are for-credit and can be transferred into the Boston College Master of Science in Leadership degree program.

Graduate Certificate in Corporate Communications and Marketing

Requirements (4 courses, 12 credits total)

• ADLP8300 The CCO Toolkit: Strategic Communications for Organizational Success 
• ADLP8305 Cross Cultural Communication 
• ADLP8350 The CMO’s Guide to Integrated Marketing Strategies 
• ADLP8351 The Power of Strategic Storytelling

Graduate Certificate in Leadership 

Requirements (4 courses selected from the following, 12 credits)

• ADLP7000 Daring to Lead  
• ADLP7002 The Self-Aware Leader 
• ADLP7003 Leading Change from the Middle 
• ADLP7004 Problem Solving through Critical Thinking 
• ADLP8102 Leading High Performing Teams

Graduate Certificate in Human Resources

Core Requirements (3 credits total)

• ADLP8501 Pathway to CHRO: Strategies for HRM 

Elective Requirements (3 courses selected from the following, 9 credits)

• ADLP8503 HR Analytics
• ADLP8504 The Future of Work
• ADLP8505 Just Leadership: Creating Inclusive Workplaces 
• ADLP8506 Re-Imagining Performance Management

Graduate Certificate in Management and Organizational Excellence

Requirements (4 courses, 12 credits total)

• ADLP8100 Power, Influence and Persuasion 
• ADLP8101 The Flourishing Leader: Cultivating Well-being and High Performance 
• ADLP8102 Leading High Performing Teams
• ADLP8103 Art and Science of Strategy 

Graduate Certificate in Project Management

Requirements (4 courses, 12 credits total)

• ADLP8600 Fundamentals of Project Management
• ADLP8601 Risk Management/Quality Management
• ADLP8603 Agile Methodologies
• ADLP8605 Leveraging Data in Project Management 

Graduate Certificate in Management and Organizational Excellence

Requirements (4 courses selected from the following):

• ADLP8100 Power, Influence, and Persuasion
• ADLP8101 The Flourishing Leader: Cultivating Well-being and High Performance
• ALDP8102 Leading High Performing Teams
• ADLP8103 The Art and Science of Strategy

Sports Administration Graduate Certificates (Online and Select Courses on Campus)

Offered by the M.S. in Sports Administration Program

The courses are for-credit and can be transferred into the Boston College Master of Science in Sports Administration degree program.

Graduate Certificate in Executive Sports Leadership

Executive Sports Requirements (All Required, 6 Credits)

• ADSA7585 Sports Leadership and Ignatian Based Ethics
• ADSA9102 Applied Goal Achievement

Leadership Requirement (1 course selected from the following, 3 Credits)

• ADLP7003 Leading Change from the Middle
• ADSA7585 Sports Leadership and Ignatian Based Ethics

Elective Requirements (One course required, 3 Credits)

Confirm elective selections with the Graduate Program Director.

Graduate Certificate in Sports Analytics

Core Requirements (All Required, 9 Credits)

• ADEC7310 Data Analysis
• ADEC7320 Econometrics
• ADSA8015 Sports Analytics

Elective Requirements (One Required, 3 Credits)

• ADSA7501 Introduction to Sports Management
• ADSA7502 Sports Marketing and Communication
• ADSA7503 Sports Finance
• ADSA8035 Player Performance Modeling & Applied Analytics in Sport

Graduate Certificate in Student-Athlete Development

Core Requirements (All Required, 9 Credits)

• ADSA8002 Issues and Challenges Affecting the Student-Athlete
  
• ADSA8004 Diversity and Inclusion in Sports
• ADSA8008 Sport Psychology
  

Elective Requirements (One Required, 3 Credits)

• ADSA7504 Sports Law and Compliance
  
• ADSA7506 Athlete Entrepreneurship: Opportunities Created by Name, Image, and Likeness
• ADSA8005 Health and Wellness in Athletics and Sports Management

Writing Graduate Certificate (Online)

Offered by the M.A. in Writing & the Human Condition Program 

The courses are for-credit and can be transferred into the Boston College Master of Arts in Writing & the Human Condition degree program. 

Graduate Certificate in Writing & the Human Condition 

Complete any of the four courses listed below (12 Credits Total). One selection must be a course from the psychological humanities list and one selection must be a course from the writing workshop list. 

Psychological Humanities (3 credits each)

• CRWR7101 Writing as a Psychological Endeavor 
• CRWR7201 The Psychology of Tragedy 
• CRWR7301 The Psychology of Comedy 

Writing Workshops (3 credits each)

• CRWR7102 Writing the Mind 
• CRWR7202 The Healing Power of Writing 
• CRWR7302 Psychological Realism 
• CRWR7402 The Subconscious in Storytelling 
• CRWR7502 Life as Literature: Where Theory and Practice Meet

Non-Degree Students

Non-degree students are individuals interested in taking graduate courses for academic credit but not in applying for a degree. A brief non-degree application form must be completed and submitted online. Non-degree students may enroll in Fall, Spring, or Summer semesters. Most graduate courses are only available to non-degree students with approval from the respective Graduate Program Director.