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 data analysts to interpret that data to understand customers, develop new products and cut costs.
The MS in Business Analytics provides a holistic approach to the field as students develop expertise in data management, machine learning and predictive analytics, all while building a strong background in business skills. Students gain the skillset necessary to analyze large datasets 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.
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 and marketing to understand analytics strategy and practice in organizations. Various analytics-related business electives allow students to focus on specific business areas.
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 tools such as SAS, R, Python, IBM/SPSS, Hadoop, Rapid-Miner, Tableau and others. With hands-on projects, you can play with live data from digital marketing and social media, finance, accounting, supply chain management, healthcare and e-commerce.
The MSBA includes a capstone experience where students work with a client organization to framing analytics strategies and develope analytics solutions.
Who should enroll?
Any student interested in harnessing diverse data for business excellence. We encourage applicants from the sciences, business, engineering, humanities and healthcare who want to combine skills in data management, technology and analytics to create business solutions. Working professionals looking to develop newer capabilities in business intelligence and analytics, business professionals and entrepreneurs who want analytical skills to become data-driven decision makers as well as undergraduates seeking specialized knowledge and training to work in data-rich environments are all encouraged to apply.
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 capability in business intelligence and analytics. After completing the program, you will be able to bring together information technology, data science and business so that you will be able to analyze communicate the value of data.
Career Outcomes: Career opportunities in business analytics abound and promise to grow exponentially for the next decade. The program prepares students for roles such as business analyst, data analyst, quantitative analyst, data scientist, digital marketing analyst, supply chain analyst, risk analyst, product manager for information and analytics-driven organizations, as well as managerial roles leading to chief data officers, chief analytics officers and chief information officers.
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.
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 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 and Methods for Busines
Theory, techniques and applications of statistical methods for business analytics, particularly methods of regression, multivariate statistical analysis, and time series analysis. Software used include R, SPSS.
IDS 576 Advanced Predictive Models
In Their Own Words
“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.”MSBA '18|
So Much More at UIC Business
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
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
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
Additional Organizations and Programs
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.
Some of the world’s largest businesses recruit at UIC Business, including:
- Assurant Solutions
- Blue Cross & Blue Shield
- CAN Insurance
- Capital One
- Cardinal Health
- CME Group
- Critical Mass
- CVS Health
- Discover Financial Services
- Dyson Technical Solutions
- Enova International
- Flexon Technologies
- Foresight ROI
- IBM (Poland)
- McKinsey & Company
- Motorola Solutions
- Mu Sigma
- Remedy Analytics
- Rise Interactive
- SAP America
- Shelby Group
- United Health Group
- US Foods
- Wavicle Data Solutions
- Webb Mason Analytics
Analytics workshops are organized by the Business Aanalytics 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
The Master of Science in Management Information Systems Program focuses on information technology, software and systems, and prepares students for jobs as developers, business analysts, project managers and technology consultants.
The Master of Science in Business Analytics Program trains students to work in data-rich environments. It enables students to solve real business problems through organization, analysis, and interpretation of data. This course prepares students for jobs as data analysts, data scientists, and domain analysts (e.g., financial analyst, healthcare analyst, or risk analyst).
The program offers prerequisites to equip students with the necessary business and technical background. Prerequisites do not count toward the 32-credit program requirement. Technical prerequisites cover essential knowledge of databases, programming and statistics. Students without prior business education or experience are required to take two courses in core business areas like finance, marketing, accounting or operations. Prerequisite courses may be waived based on equivalent prior coursework or work experience in a functional area. For a full list of requirements including prerequisites, see “View Degree Requirements” above or visit the UIC Catalog.
The MS Business Analytics program offered by the Liautaud School of Business is a STEM (Science, Technology, Engineering and Math) course.
The MS Business Analytics Program admits students in both the fall and spring semesters. Students may choose to enter in the summer semester to take prerequisite courses, including programming, database and business prerequisites. Students seeking summer admission are encouraged to apply early.
Students from a variety of backgrounds (including tech and business) enroll for the MSBA Program. Through coursework, students develop the technical and business skills required to successfully complete the program. We assess candidates to provide each individual with prerequisite courses based on their background and work experience.