Offered through Saint Louis University's School for Professional Studies, the Master of Science in Analytics curriculum will teach you to design and implement analytics projects to solve complex organizational problems through statistical and analytical techniques for analyzing datasets of various sizes. Through your coursework, you'll gain skills in project management, decision making, and learn how to communicate the intricacies of complex data more effectively. 

Along the way, you’ll learn from a network of diverse peers from around the world, merging technology with human and organizational structures as you engage in knowledge discovery, management, and dissemination of industry-critical knowledge. You can also earn a graduate certificate that complements a master’s degree, often without taking additional credits, allowing you to tailor the program to your specific interests.

As part of the School for Professional Studies, this 33-credit master's program offers data-driven professionals like you a flexible option to meet your personal career goals. With multiple start terms, you can begin the master's program in fall, spring or summer. All courses are offered in online and hybrid formats in eight-week terms, making advanced education more accessible for working professionals. You will join a community of academics and practitioners from around the world and from a wide range of academic and professional backgrounds, providing the opportunity to learn from a network of peers.

The MS in Business Analytics assists students and working professionals from a variety of backgrounds who are eager to take on challenges in the exciting disciplines of business analytics and data science. Modern data mining, machine learning, deep learning, text mining, time series, and big data technologies are covered in the program's cutting-edge curriculum. 

Course Curriculum`

The core module for the Msba program consists of the following:- 

• Optimization Methods for Analytics
• Data Mining
• Database Management and Applications
• Big Data Technology and Applications
• Data Warehousing and Business Intelligence
• Data Analytics

Course Highlights

Admission Requirements

Exams

• TOEFL: Minimum score of 80 on the Internet-based
• IELTS: Score of 6.5 or above 

Documents/Prerequisite

• Have a grade point average of at least 2.5
• Resume
• Complete application form
• Recommendation letters
• Official transcripts