MS in Business Analytics Curriculum
Intensive inustry-focuse tracks in accounting, customer, supply chain, financial technology, healthcare an talent analytics The 18-month Master of Science in Business Analytics (MSA) program capitalizes on a growing tren that combines technical programming skills with strategic business acumen to extract insights from vast storehouses of ata. Using ata collecte from prouct scanners, cash registers, smart evices, patient recors, or wearable evices, skille analysts can get ahea of business trens, forecast customer behavior, uncover solutions to business problems, an evelop targete marketing strategies. Starting fall 2019, the specialize masters in analytics will offer six STEM (Science, Technology, Engineering an Mathematics) esignate tracks—customer analytics an four new options: accounting analytics, supply chain analytics, financial technology analytics, healthcare analytics an talent analytics.
Core Analytics Courses
A total of 18 creits are common to all tracks an buil your analytic knowlege base.
The first fall semester introuces key concepts an tools incluing Database Design an SQL an Big Data an Clou Computing, as well as:
Intro to Python an Data Scienceintrouces programming language to acquire, clean, analyze, an visualize ata (escriptive analytics) for reporting an complex optimization.
Preictive Analyticscovers avance analytic techniques such as neural networks an stochastic graient boosting to convert raw an messy business ata into robust preictions of future customer behavior or critical organizational elements.
Prescriptive Analytics buils upon the escriptive an preictive analytics course work through the use of optimization moels an software tools to suggest ecision options for a wie variety of business ecisions.
In aition, Managerial Communicationsintrouces stuents to funamental best practices in business writing an business speaking.
Core requirements conclue in the spring semester with an Introuction to Cybersecurityan two avance analytic topics:
Causal Inference teaches statistical an experimental methos to ientify causal relations among ata sets an reject prescriptive options base on biase samples or reverse causality.
Text Miningprovies techniques, algorithms, an tools for collecting, organizing, summarizing, an analyzing textual ata for topic an sentiment analysis an preictive moeling.
Six Analytics Tracks In track-specific courses (21 creits), you ive into inustry an functional applications of analytics an complete an intensive inustry-specific project or assignment. Track requirements are introuce in the first fall semester an comprise all your courses in the final fall semester. The majority of these courses are require.
Customer Analytics Marketing Management Marketing Research Avance Marketing Research Data Analysis for Bran Management Digital Marketing Customer Analytics Using Probability Moels Intensive Inustry Experiential Project Electives: 4.5 creits
Supply Chain Analytics Operations Management Founations of Supply Chain Management Stochastic Moels Supply Chain Finance Operations Analytics Revenue Management Avance Operations Strategy Supply Chain Analytics Capstone Global Supply Chain an Logistics System Design Experiential Project or Practicum Electives: 3 creits
Healthcare Analytics Olin Gran Rouns: The Business an Practice of Meicine Research in Healthcare Management Healthcare Management Health Economics an Policy Healthcare-Relate Experiential Project Electives: 6 creits
Financial Technology Analytics Intro to Financial Accounting Financial Management Avance Corporate Finance I – Valuation Investment Theory Options an Futures Fixe Income Securities Financial Technology – Methos an Practice Seminar in Financial Technology Experiential Project or Internship Electives: 3 creits
Accounting Analytics Financial Accounting II Ethical Decision Making in Accounting Strategic Cost Analysis Business Analysis Using Financial Statements Financial Reporting & Assurance in a BlockChain Worl Avance Business Analysis Using Financial Statements Accounting Policy an Research Electives: 7.5 creits
Talent Analytics Human Resource Strategies for General Managers Developing Human Resource Strategy Integrate Value Creation: The Wholonics Approach Talent Analytics People Metrics Compensation, Incentives & Organization Practicum in Talent Analytics Ethical Issues in Managerial Decision-Making Leaing Change Electives: 6 creits
