Master of Science in Business Analytics

The MSBA at the UIC Business Liautaud Graduate School prepares you for today’s hottest careers.

From sales figures and account balances to photos, customer reviews and social media comments, data is waiting to be collected, organized and analyzed. Every industry is using technology to generate new data and they need analysts to interpret that data to understand customers, develop new products and enhance revenue.

The MS in Business Analytics will provide you with a holistic approach to the field and develop expertise in data management, machine learning and predictive analytics, along with a strong business foundation. You will gain the skill set necessary to analyze large data sets and generate insights through techniques in data visualization, statistical modeling and data mining. The program curriculum emphasizes industry experience, exposure and collaboration across a variety of analytics projects.

UIC Business MS in Business Analytics ranks 36th

QS World University Rankings has ranked three UIC Liautaud Graduate School of Business programs in their top master’s programs

Full Rankings

Spring 2020 Admission Deadlines

Summer 2020 Admission Deadlines

Curriculum

The MSBA curriculum includes courses covering current topics on business intelligence, applied statistics, data mining, machine learning, text analytics, data visualization, optimization and ‘big’ data analytics. The curriculum integrates knowledge and training on technical topics with business applications and functions, such as finance, marketing and operations to understand analytics strategy and practice in organizations. Various analytics-related business electives allow students to focus on specific business areas.

Cutting-Edge Curriculum

Fast-paced program
The 32-credit hour program can be completed in one year of full-time study, or more than one year of part-time study.

Exposure to technology
Through intense coursework, you will gain experience in using current tools such as R, Python, Hadoop, Spark, Tableau, IBM/SPSS and others. With hands-on projects, you can learn to analyze live data from digital marketing and social media, finance, accounting, supply chain management, healthcare and e-commerce..

Experiential learning
The MSBA includes a capstone experience providing you with the opportunity to work with a client organization to analyze a business issue and develop analytics solutions.

Who should enroll?
We encourage applicants from all majors and backgrounds who want to combine skills in data management, technology and analytics to create business solutions to apply. Our program is also flexible for working professionals and entrepreneurs seeking to develop new skillsets in business intelligence with the goal of becoming data-driven decision makers.

More Information

  • For a full list of requirements including prerequisites, visit the UIC Catalog
  • Full a full list of courses offered, visit the Course Catalog
  • For tuition and fees information, visit the Tuition page

Program Outcomes

The UIC Business Liautaud Graduate School Master of Science in Business Analytics program helps you develop skills and training to work in data-rich environments, and enables you to develop capabilities in business intelligence, machine learning and analytics. After completing the program, you will be able to bring together information technology, AI, data science and business so that you will be able to analyze and communicate the value of data.

Career Outcomes: Opportunities in business analytics abound and promise to grow exponentially for the next decade. Our program prepares students for analyst, data scientist roles in the areas of accounting, finance, digital marketing, supply chains, revenue management, risk management, among others. If you are a current working professional, the program can open up managerial opportunities such as product manager for information and corporate level positions including chief data officer, analytics officer or information officer.

Almost 90 percent of recent graduates (2016-2017) had been employed within six months of graduation, with 55 percent completing an internship during their time in the program. The average starting for the these MSBA graduates was $83,700.

Explore Degree Requirements

Program Faculty

IDS 521 Advanced Database Management

Advanced topics in Structured Query Language (SQL), dimensional modeling for Data Warehousing (DW) systems, and some next generation (NoSQL) and cloud-based database architectures that address current Big Data challenges.

IDS 558 Revenue Management

Mathematical models and analytics to solve for profit-maximizing business strategies for companies. Topics covered include price optimization, price differentiation, market segmentation, capacity allocation, and network management.

IDS 560 Analytics Strategy and Practice

Client-based projects to learn how to apply the analytic skills developed in the MS Business Analytics curriculum to practical problems. Case studies and analytics related issues in the context of organizational strategy.

IDS 561 Analytics for Big Data

Fundamental concepts of distributed algorithms to analyze large-scale data in various domains, data mining on large data and applications (MapReduce), data storage, query and business intelligence with distributed databases. Use of Hadoop, Hive, Spark, Mahout.

IDS 564 Social Media and Network Analysis

Analytic approaches to help organizations utilize large volumes of social media data for making informed business decisions, social network analysis, customer behavior analysis, social advertising using machine learning methods, use of Gephi and R.

IDS 572 Data Mining for Business

Methods and tools for discerning meaningful and useful patterns in data. Overview of data mining and its application to business problems, core data mining techniques, and best practices. Software used include use of Rapid Miner and R.

IDS 575 Statistical Models & Methods for Business

Foundations of modern statistics and machine learning methods for business analytics. Multivariate analysis, generalized linear models, supervised and unsupervised learning, maximum likelihood and expectation maximization, structured prediction, tree methods, sampling, support vector machines, time series analysis. Software used include R.

IDS 576 Advanced Predictive Models

Advanced machine learning techniques and applications. Neural networks and deep learning, hierarchical models, Bayesian networks. Use of Python and various packages.

Data Science & Analytics Consultant at EY, MSBA '18

“My passion for data and insights began during high school when I was working on a project on the milk supply pattern of my locality which encompassed thousands of households. My curiosity got the best of me, fast forward a few years and I ended up pursuing a master’s in economics, wherein my understanding of data-driven business grew and I also learned its immense importance. My transition to analytics as a whole has been a gradual and smooth ride, influenced by my work at Capgemini where I was a consultant with Data Science and Analytics team. UIC provided me the best possible MSBA program which matched my background and catered to my requirements. It helped me develop sound technical skills along with knowledge of business concepts. UIC has definitely helped me kick start my journey in the world of analytics.”

Varshini Varanasi  |  Data Science & Analytics Consultant at EY, MSBA '18

Special Topics

Analytics special topics (IDS 594), updated regularly:

  • Cognitive Computing and Analytics with IBM Watson
  • Health Information Management & Analytics
  • Advanced Analytics Using SAS
  • Machine Learning Applications Using R
  • Machine Learning Applications with Python
  • Data science for Online Customer Analytics

Analytics Electives

Other analytics electives:

  • IDS 476 Business Forecasting Using Time-Series Methods
  • IDS 564 Social Media and Network Analysis
  • IDS 566 Advanced Text Analytics
  • IDS 567 Data Visualization
  • IDS 576 Advanced Predictive Models

Business Electives

Various courses based on individual interest, such as:

  • IDS 552 Supply Chain Management
  • IDS 558 Revenue Management
  • IDS 540 Marketing Analytics
  • ACTG 516 Financial Statement Analyses
  • FIN 510  Investments
  • FIN 516 Options & Futures

Business Analytics Organization Student Chapter

The BAO is a student organization that fosters interaction and networking with industry experts and leaders in the field of analytics and data science. Workshops and speaker series expose students to different technologies and application areas.

Preferred admission and STEM-designated program

Outstanding UIC and UIUC undergraduates with a GPA of 3.00 in their undergraduate degree in IDS can be admitted into the MSBA program without a GMAT or GRE score.

The MSBA is a STEM designated program. International students are allowed work experience on the OPT STEM extension.

Top Recruiters

Some of the world’s largest businesses recruit at UIC Business, including:

Fortune 500

  • AArete
  • Accenture
  • Aetna
  • Amazon
  • Assurant Solutions
  • Blue Cross & Blue Shield
  • CAN Insurance
  • Capgemini
  • Capital One
  • Cardinal Health
  • Caterpillar
  • CME Group
  • Critical Mass
  • CVS Health
  • Deloitte
  • Discover Financial Services
  • Dyson Technical Solutions
  • eBay
  • Enova International
  • Facebook
  • Flexon Technologies
  • Foresight ROI
  • Grainger
  • IBM (Poland)
  • IRI
  • KPMG
  • McKinsey & Company
  • Motorola Solutions
  • Mu Sigma
  • Oracle
  • PwC

...and More

  • Qualcomm
  • Remedy Analytics
  • Rise Interactive
  • SAP America
  • Shelby Group
  • Siemens
  • SourceLink
  • Starbucks
  • Teksystems
  • Thompson-Reuters
  • TransUnion
  • Tredence
  • United Health Group
  • US Foods
  • Verizon
  • Wavicle Data Solutions
  • Webb Mason Analytics

Analytics Events

Analytics Workshops

Analytics workshops are organized by the Business Analytics Organization on a host of industry relevant topics. These hands-on workshops equip students with the latest technology, giving them an edge on the job market.

  • IBM Watson Analytics, February 24, 2017
  • SAS advanced Analytics, January 27-28, 2017
  • Neural Networks with Python, October 21, 2016
  • Hadoop Datamarts & Appln, September, 2016
  • Deep learning using Python, November, 2016

Analytics Industry Speaker Series

The Analytics Speaker Series provides a platform for students to meet professionals in their field, discuss trends and industry developments, and learn about career opportunities.

  • Sheila Talton, CEO of Gray Matter Analytics, February 10, 2017
  • Brian Lange, Partner and Data Scientist, Datascope Analytics, September 16, 2016

Frontiers in Analytics – CRIM

The Center for Research in Information Management held its annual symposium on “Frontiers in Analytics.” The event featured:

  • Presentations and panel discussions
  • Networking with academic researchers and industry leaders
  • CRIM Student Analytics Challenge
  • Topics on emerging analytics capabilities

For more information about CRIM, visit this page.

Frequently Asked Questions