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Master of Science in Analytics
The Master of Science in Analytics is a specialized graduate program designed to equip students with advanced analytical skills to interpret complex data and make data-driven decisions. The program blends coursework in statistics, data mining, machine learning, and predictive modeling with practical applications in industries such as finance, healthcare, and technology. Students learn to analyze large datasets, develop innovative solutions, and apply analytical insights to real-world business challenges. Graduates are prepared for roles such as data scientists, business analysts, and consultants, driving strategic decision-making and innovation across various sectors.
About The Programme
Master of Science in Analytics program highlights include:
Completion in 4 semesters
Flexible classes with both in-person residency requirements and limited online courses available
Practical, personalized case studies tailored for your field
Networking from day one, both in and outside the classroom
Maximizing data analytics tools that already work for you
Course Details
Course Requirements
Degree Requirements
Master of Science in Analytics - 33 credits
- ANLT 500 Wicked Data Problem in R 3 credits
- ANLT 510 Advanced Statistics and Modeling 3 credits
- ANLT 530 Data Mining 3 credits
- ANLT 540 Descriptive, Predictive and Prescriptive Analytics 3 credits
- ANLT 550 Data Visualization 3 credits
- ANLT 565 Marketing Analytics 3 credits
- ANLT 570 Case Studies I: The Power and Breadth of Analytics 3 credits
- ANLT 575 Data Driven Decisions 3 credits
- ANLT 580 Case Studies II: Targeted Applications of Analytics 3 credits
- ANLT 591 Analytics Capstone I (Project Exploration) 1 credit
- ANLT 592 Analytics Capstone II (Project Design and Proposal) 2 credits
- ANLT 593 Analytics Capstone III (Project Execution) 2 credits
- ANLT 594 Analytics Capstone IV (Project Finalization and Reporting) 1 credit
Executive Program Format
Prospective business analytics majors will search for MBA in business analytics or MS in data science programs when looking to advance their analytics careers. Wittenberg’s MS in Analytics program in Ohio is the only one of its kind in the nation with blended on-campus residency and online coursework. Wittenberg's MS in Analytics program also features:
Collaborative projects that focus on real-world issues and client-facing problems.
Top-level advisory board consisting of leading data science educators and industry executives, all of whom are accessible to you for networking and advice.
Final project readiness, which highlights your personal passion or current industry work.
A learning-and-lifestyle intersection designed to meet the preferences of working data science and business analytics professionals.
Earn Your Master of Science in Analytics Degree.
Are you ready for an exciting and fulfilling career in business analytics and data sciences? Wittenberg's MS in Analytics program in Springfield, Ohio will prepare you to confidently help organizational leaders make better, faster decisions.
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