Program Objectives

The Master of Science in Business Analytics (MSBA) program is designed to prepare students to bridge the gap between complex data science and strategic business decision-making. Students learn to collect, organize, and analyze vast amounts of structured and unstructured data to identify patterns and trends that guide business strategy.

This program provides students with the critical knowledge and technical skills to design, develop, and implement analytical systems across high-demand corporate sectors. The curriculum offers a robust foundation in Business Analytics Methods, Database Management, data visualization, and Software Development Life Cycle.

Curriculum

Our curriculum combines core business analytics knowledge with specialized concentration courses and hands-on capstone projects.

Course Descriptions

Explore detailed course descriptions, learning outcomes, and prerequisites for each course in the program.

• MSBA 510 – Artificial Intelligence: Foundations of AI, search algorithms, logic, probabilistic reasoning, and intelligent agents applied to real-world problems.
• MSBA 520 – Database Management: Relational and NoSQL databases, SQL, data modeling, query optimization, and database administration techniques.
• MSBA 530 – Quality Assurance: Data quality frameworks, testing methodologies, validation techniques, and assurance processes for data-driven systems.
• MSBA 610 – Business Analytics Methods: Quantitative and qualitative methods for business decision-making, including regression, forecasting, and optimization techniques.
• MSBA 620 – Data Engineering: Building and managing data pipelines, ETL processes, cloud data platforms, and scalable data infrastructure.
• MSBA 630 – Data Mining for Business Analytics: Pattern recognition, association rules, clustering, classification, and mining techniques applied to business datasets.
• MSBA 640 – Supply Chain Analytics: Data-driven approaches to supply chain optimization, demand forecasting, logistics analysis, and inventory management.
• MSBA 650 – Data Visualization: Visual analytics, Tableau, Power BI, storytelling with data, and building interactive dashboards for business audiences.
• MSBA 660 – Software Development Life Cycle: Agile methodologies, project management, software design principles, and deployment practices for analytics applications.
• MSBA 690 – Management of AI Technologies: Strategic management of AI initiatives, governance frameworks, ethical AI deployment, and organizational transformation.

Program Admission Requirements

Applicants must meet the following requirements to be considered for admission to the MS in Business Analytics program.

• Completed Graduate Admissions Application and Application Fee of $50
• Bachelor’s degree in a related field — Data Science, Computer Science, Information Technology, Software Engineering, Electronics & Communications, Electrical Engineering, Robotics Engineering, Cyber Security, Artificial Intelligence, Communications Engineering, Computer Applications, Computer Engineering, or work experience in related fields
• Minimum undergraduate cumulative GPA of 2.0
• Official transcripts (foreign transcripts require evaluation by a recognized agency — cost is the student’s responsibility)
• Professional Resume
• Two letters of recommendation
• Statement of Purpose
• GRE (optional)
• Proof of English Language Proficiency — TOEFL / IELTS / PTE / Duolingo (non-native English speakers)
• Proof of funds

Degree Outcomes

Successful completion of the MS-BA Program will enable students to:

• 01Develop strategic decision-making ability to frame business problems in multiple contexts and apply appropriate analytical methods to deliver actionable solutions.
• 02Gain technical proficiency in industry tools such as Python, R, SQL, Tableau, and Power BI for data processing, analysis, and visualization.
• 03Build statistical modeling expertise in applying mathematical, predictive, and prescriptive models to support business goals and forecast trends.
• 04Develop communication and leadership skills to translate complex technical insights into clear, non-technical language while fostering collaboration and teamwork.
• 05Apply ethical reasoning and professional responsibility in understanding data privacy, governance, and the ethical use of AI.

Credit for Prior Learning

Eligible students may receive credit for prior learning, professional certifications, or relevant work experience.

Career Options

Career options may require additional experience, training, or other factors beyond the successful completion of this program. A Master of Business Analytics degree can academically prepare you to pursue:

• Business Analyst
• Data Engineer
• Cloud Engineer
• Data Scientist
• Marketing Analyst

Work Settings

A Master of Business Analytics degree can academically prepare you to work in settings such as:

Tuition & Fee

We are committed to providing a high-quality education that is accessible and affordable. Explore tuition, fees, and financial aid options available for this program.