Suffolk University United States

Master of Science in Business Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Master of Science in Business Analytics at Suffolk University equips you to harness the power of data for strategic decision-making in today's complex business environment. This postgraduate program is ideal for ambitious professionals seeking to deepen their expertise in data management, predictive analytics, and machine learning, enabling them to solve critical business problems. You will explore how to transform raw data into actionable insights, preparing you for impactful roles where data-driven strategies are paramount. This degree provides a robust foundation in both the technical and business applications of analytics.

You will engage in a full-time, on-campus learning experience over one year, delving into core subjects like Data Analytics with Python, Advanced Excel for Business, and Data Warehousing. The curriculum culminates in a capstone course, Data Mining to Business Insights, where you will apply your acquired skills to real-world challenges. Through a selection of specialized electives, you can tailor your studies to areas such as finance analytics, data science, or marketing analytics. Upon graduation, you will be prepared for diverse career paths, including data scientist, business intelligence analyst, or data consultant.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Master of Science in Business Analytics program equips students with the skills to leverage data for informed decision-making. The curriculum includes foundational courses in data analytics with Python, advanced Excel for business problem-solving, and data management. Students will also engage in a capstone project focused on extracting business insights from data mining, and can choose from a wide array of electives in areas such as accounting, finance, healthcare, and marketing analytics.

1 I. Required Course (1 Credit)

Preparing for your professional future Compulsory

2 II. Business Analytics Core Courses (18 Credits)

Data analytics with Python
Solving business problems using advanced excel
Data management and modeling
Enterprise data management
Data warehouse and business intelligence
Predictive analytics and machine learning

3 III. Capstone Course (3 Credits)

Data mining to business insights

4 IV. Required Electives (9 Credits)

Graduate financial accounting I
Fraud examination
Forensic and investigative accounting
Big data and financial statement analytics
Accounting information systems
Investment analysis
Risk management in banking and finance
Financial econometrics
Introduction to fintech
Financial forecasting
Applied risk management
Data analytics and credit risk
Health systems I: healthcare in the U.S.
Health systems II: economics, law, and policy
Healthcare operations management and performance improvement
Big data and analytics for health and healthcare
Innovation: the future of healthcare
Quality, patient safety, and patient experience
Healthcare analytics
Global travel seminar: comparative analysis of the healthcare systems in England and United States
Advanced data management leveraging ETL tools
Prescriptive analytics: modeling and optimization
Security and privacy
Business intelligence, data visualization, and storytelling
Supply chain management: strategy, operations, and analytics
Project management: gaining competitive advantage
Special topics in information systems
Directed individual study
Statistics
Economics
Financial management for business decisions
Innovative thinking
Immerse- travel seminar
Master of business administration student business clinic
People analytics
Leading teams
Marketing research for managers
Marketing foundations and strategy
Global product innovation
Advanced digital analytics
Qualitative methods and customer insights
Machine learning for marketing with Python
Advanced marketing analytics with R
Neuromarketing
Artificial intelligence in marketing strategy and practice
Foundations of public service and administration
Information based management
Managing financial resources
Introduction to performance improvement strategies
Performance measure capacities
Relating performance to stakeholders
Federal taxation of income

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 61,070.00
Total Program Cost Estimated total tuition
USD 61,070.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 5,117.00 - USD 6,712.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Boston Campus.

Outcomes & Employability

What happens after you graduate

93%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Corporate Finance & TreasuryEvent & Experiential MarketingHome Health & Long‑Term CareMental Health & CounselingPrivate Equity & Venture CapitalPublic RelationsQuality Assurance & TestingRail & Mass TransitSoftware Development & EngineeringTax & Legal Compliance

Top Employers Hiring for this course

Amazon

Amazon Web Services

Fidelity Investments

Google

Mass General Brigham

Salesforce

Why Study Master of Science in Business Analytics at Suffolk University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

Suffolk University typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at Suffolk University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Science in Business Analytics at Suffolk University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks in the U.S. On-campus work does not require a separate permit.

What English language score do I need for this course?

English proficiency is required for admission. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE, each with specific score requirements for comprehension, overall, and other sections.

What jobs can I get after studying this course?

Graduates can pursue job titles such as Data Analyst, Business Intelligence Analyst, Data Scientist, or Analytics Consultant.

What will I actually study in this course?

This program focuses on analytics within a business context and teaches data management skills. Graduates are equipped to make data-driven decisions and communicate insights to non-technical stakeholders.

When can I start — what are the intake months?

The Master of Science in Business Analytics program has intake months in January and August. You can apply for either of these sessions to start your journey in business analytics.
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