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.
UIC Liautaud’s Master of Science in Business Analytics is designed to prepare students to meet the growing demand for business analytics professionals. At UIC Liautaud, you will receive an education based on data analysis and technology that integrates functional applications from accounting, finance and marketing.
The 32-credit hour program can be completed in one year of full-time study (or more than one year of part-time study).
The MSBA curriculum includes courses covering current topics on business intelligence, applied statistics, data mining, machine learning, text analytics, data visualization, optimization, '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.
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.
Knowledge of business statistics at the level of IDS371 or IDS570 or equivalent.
Knowledge of a programming language, like C, C++, or Java at the level of IDS401 or the equivalent.
Knowledge of relational databases and querying using SQL at the level of IDS410 or the equivalent.
|Two introductory courses in any two functional areas of business. Each course may be waived based on equivalent prior course work or appropriate work experience in the functional area.|
|Introduction to Operations Management|
|Introduction to Financial Accounting|
|Introduction to Corporate Finance|
|Introduction to Marketing|
|Prerequisite courses do not count toward the mininum degree requirement of 32 hours.|
|Advanced Database Management|
|Data Mining for Business|
|Analytics Strategy and Practice|
|Statistical Models and Methods for Business Analytics|
|Select 16 hours of electives from the following list, with at least 8 hours of analytics electives. Electives must be approved by the director of graduate studies. Based on the student's background and interests, other analytics-related courses may be taken witht he advice and approval of the director of graduate studies.|
|Optimization Models and Methods|
|Analytics for Big Data|
|Social Media and Network Analysis|
|Advanced Text Analytics for Business|
|Business Data Visualization|
|Advanced Predictive Models and Applications for Business Analytics|
|Special Topics in Information and Decision Sciences|
|Analytics-related business electives approved by the director of graduate studies, including the following:|
|Financial Statement Analysis|
|Theory and Structure of Options and Futures Markets|
|Audit and Control of Information Systems|
|Supply Chain Management|
|Special Topics in Marketing|
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
Other analytics electives:
IDS 564; Social Media and Network Analysis
IDS 567: Data Visualization
IDS 566: Advanced Text Analytics
IDS 476: Business Forecasting Using Time-Series Methods
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
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.
Some of our top recruiters for internships, co-ops, and placements:
• IBM (Poland)
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.
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.
• Hadoop Datamarts & Appln (Sept 2016)
• Deep learning using Python (Nov 2016)
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.
• Brian Lange (Partner and Data Scientist): Company - Datascope Analytics
The Center for Research in Information Management (CRIM) held its annual symposium on “Frontiers in Analytics.” The event featured:
• presentations and panel discussion
• networking with academic researchers and industry leaders
• CRIM Student Analytics Challenge
• topics on emerging analytics capabilities
For more information about CRIM, visit this page.