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Master of Science in Business Analytics {24-25}

Program Coordinator: Dr. Gokce (Greg) Serdar, PhD, MBA, BS
Paseka School of Business
Center for Business, (218) 477-4650
serdar@mnstate.edu

Master of Science in Business Analytics

Description
The Master of Science in Business Analytics - 34 credits

Admission Requirements

Information on admission requirements will be found on the Graduate Studies webpage and will be similar to those of MBA program.

Program-related Admission Requirements:

  • Baccalaureate degree from an accredited institution; no specific major is required
  • Undergraduate cumulative GPA of 2.75 or at least 3.00 for the last 30 semester credits
  • GMAT with a minimum score of 500. No more than 5 years old. MBA GMAT waivers will apply.
  • Letter of intent
  • Two professional and/or academic reference letters
  • Resume/CV

Student Learning Outcomes

  • Analytical Proficiency: Students will develop a deep understanding of statistical, quantitative, and machine learning methods and their application in solving complex business problems. They will become proficient in using industry-standard software and tools for data analysis, modeling, and visualization to interpret and leverage data in decision-making processes.
  • Business Acumen and Strategic Thinking: Students will gain comprehensive knowledge of business operations, management practices, and the strategic role of data analytics within organizations. They will learn to critically assess business scenarios, identify opportunities for improvement, and make data-driven recommendations that align with organizational strategies and objectives.
  • Ethical and Social Responsibility: Students will understand the ethical implications of data collection, analysis, and usage. They will learn to navigate the complexities of privacy, security, and ethical concerns in data analytics, ensuring that their analytical practices are transparent, responsible, and serve the greater good, respecting individual rights and societal norms.
  • Communication and Leadership Skills: Students will develop strong communication skills, enabling them to effectively translate complex analytical findings into actionable insights for both technical and non-technical stakeholders. They will also cultivate leadership qualities, preparing them to lead cross-functional teams, manage projects, and drive innovation in analytics within their organizations.

Program Delivery Mode
Land plus: face-to-face where some online courses may be available or required

Core Requirements ( 31 credits )

MBA 611 Marketing Management (3)
MBA 621 Managerial Accounting (3)
MBA 631 Financial Management (3)
MBA 682 Operations Management (3)
MBA 685 Project Management (3)
MBA 688 Strategic Management (3)
MBA 695 Portfolio/Plan B (1)
MGMT 633 Predictive Analytics (3)
MGMT 680 Prescriptive Analytics (3)
BUS 602 Quantitative Methods (3)
BUS 605 Fundamentals of Business Analytics (3)

Restricted Electives ( 3 credits )

BUS 628 Applications in Artificial Intelligence & Machine Learning (3)