Master’s in Business Analytics

Business Analytics Model

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In today’s business world, data is king. Successful business decisions depend on the ability to analyze, interpret, and communicate data findings across departments and sectors.

The M.S. in Business Analytics (MSBA) program in Clark’s Graduate School of Management (GSOM) equips you with the skills and techniques to interpret data, formulate insights, and communicate your knowledge effectively to data scientists, managers, and executives. Whether enrolled in our full- or part-time program, you’ll learn how to synthesize data into powerful information to influence decision-making.

Employers across industries increasingly recognize the value that business analytics professionals can deliver to their teams. Over the course of the program, MSBA students use real-world datasets to tackle complex challenges. As a result, our graduates are prepared to help organizations make strategic decisions that improve organizational performance.

Why Study Business Analytics at Clark?

  • Develop critical thinking and communication skills, as well as a range of technical skills required by today’s data-rich business environment.
  • Work closely with world-class faculty at an AACSB-accredited business school within a leading liberal arts-based research university.
  • Benefit from our STEM designation and extended OPT certification, which enhances the employment opportunities for international students post-graduation.

Faculty Focus

Pankush Kalgotra

Applying big data to big health

Professor Pankush Kalgotra received his doctorate in management science and information systems from Oklahoma State University. His research interests include health care analytics, network science, and neuroimaging in information systems.

Clark students develop capabilities to discover new problems through analytics, create predictive and optimization models, and tell a story in a simple manner.
—Pankush Kalgotra

Professor

The Essentials

Program Overview

Your coursework is organized into four primary areas of focus: analytics methodologies, data handling and processing, applications, and computation. You will establish foundational skills in each area, building on this groundwork each semester. You’ll use critical thinking skills to gather, evaluate, and interpret information, and enhance your leadership and management skills as you learn how to collaborate with diverse stakeholders within organizations.

  • An understanding of database and data warehouse design principles
  • Foundational skills in industry-standard data analytics technologies and software
  • The ability to interpret and synthesize data to make practical recommendations
  • Effective communication and presentation skills
  • Big Data Statistics
  • Programming with Python
  • Big Data Computing
  • Business Intelligence

Requirements

11 course units

  • 10 core courses
  • 1 Experiential Learning Requirement (ELR) course or internship

Coursework includes online, hybrid, and in-person classes.

Course Catalog

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