Seattle University United States

Business Analytics, MS

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Master of Science in Business Analytics (MSBA) at Seattle University is designed for ambitious individuals seeking to leverage data-driven insights for strategic business decision-making. In today's complex market, organizations require professionals who can not only interpret vast datasets but also communicate findings effectively and ethically. This postgraduate program equips you with the advanced analytical techniques and business acumen necessary to excel in fields like data preprocessing, machine learning, and big data analysis, preparing you to address critical business challenges and opportunities.

You will study this program full-time on campus over two years, engaging with a comprehensive curriculum that includes core courses in programming for business analytics, data visualization, and econometrics, alongside specialized electives. The curriculum culminates in a capstone project where you will apply your learned skills to a real-world business problem, often in collaboration with industry partners. You will graduate with a Master of Science degree, prepared for diverse career paths in business analytics, data science, and related fields, with a strong foundation built at Seattle University.

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. Through core courses, students will master programming for analytics, data preprocessing and visualization, statistical applications, machine learning, and big data tools. The curriculum culminates in a capstone project, allowing students to apply their knowledge to real-world business challenges, with opportunities for specialization through a variety of elective courses.

1 I. Preparatory Coursework

2 II. Core Courses

Programming for business analytics Compulsory
Data preprocessing Compulsory
Data wrangling, visualization, and communication Compulsory
Managing stakeholders with data Compulsory
Analytics for financial decisions and market insights Compulsory
Law and ethics for business analytics Compulsory
Database systems Compulsory
Machine learning Compulsory
Big data tools for analysis Compulsory
Statistical applications and quantitative methods Compulsory
Applied econometrics Compulsory
Marketing analytics Compulsory

3 III. Capstone

Capstone project in business analytics Compulsory

4 IV. Electives

Data architectures for analytics
Web analytics
Marketing research
Social media marketing
Creativity and innovation
Intermediate financial accounting I
Fraud analytics and forensic accounting
Financial statement analysis and security valuation
Corporate financial management
Investments
Financial derivatives
Portfolio management
Financial risk management
Real options analysis
Hedge funds
Mathematical models for decision-making
Special topics in business analytics
Internship in business analytics
Independent studies in business analytics
Economics and business forecasting
Project management and control
Advanced machine learning and artificial intelligence
Introduction to cybersecurity
Foundations of cybersecurity leadership

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 25,008.00
Second Year Fee Tuition fee
USD 25,008.00
Total Program Cost Estimated total tuition
USD 50,016.00

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

Living Costs

Accommodation
USD 1,039.00 - USD 1,919.00
Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Seattle Campus.

Outcomes & Employability

What happens after you graduate

92%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Aerospace ManufacturingAerospace Research & AcademiaAutomation & RoboticsAviation & Air TransportData Science & AnalyticsHardware & Semiconductor EngineeringLean Manufacturing & Process ImprovementLogistics & Warehouse ManagementRegulatory & Government AffairsSoftware Development & Engineering

Top Employers Hiring for this course

Amazon

Amazon Web Services

Boeing

Microsoft

Why Study Business Analytics, MS at Seattle University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Life at Seattle 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 Business Analytics, MS at Seattle University

Can I work while studying?

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

What English language score do I need for this course?

English language proficiency can be demonstrated through various tests. For instance, a minimum TOEFL score of 86 or a Duolingo score of 120 is required.

What jobs can I get after studying this course?

Graduates can pursue careers as data analysts, business intelligence analysts, and data science consultants.

What will I actually study in this course?

This program combines a strong understanding of data with top-tier business leadership skills. Key subjects include ethical decision-making and real-world projects with Seattle-based tech companies.

When can I start — what are the intake months?

The Master's in Business Analytics accepts students in four intake months: January, March, June, and September.
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