You are here

MS in Business Analytics

A group of students at computers in the the CME Lab.

The UIC Liautaud MSBA 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.

Important Dates

International Applicants

Domestic Applicants

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).

Cutting-edge curriculum
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. 

Experiential learning
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.

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

View Degree Requirements

Prerequisite Courses
Technical Prerequisites
Knowledge of business statistics at the level of IDS371 or IDS570 or equivalent.
Knowledge of a programming language, like C, C++, Java or Python at the level of IDS400/IDS401 or the equivalent.
Knowledge of relational databases and querying using SQL at the level of IDS410 or the equivalent.
Business Prerequisites
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.
IDS532
Intro to Operations Mgmt
ACTG500
Introduction to Financial Accounting
FIN500
Intro to Corp Finance
MKTG500
Introduction to Marketing
Prerequisite courses do not count toward the mininum degree requirement of 32 hours.
Required Courses
IDS521
Adv Database Management
IDS572
Data Mining for Business
IDS560
Analytics Strategy & Practice
IDS575
Business Analytic Statistics
Electives
Select 16 hours of electives from the following list, with at least 8 hours of analytics electives. Students may choose all 16 hours from analytics electives, or choose up to 8 hours of business 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 with the advice and approval of the director of graduate studies.
Analytics Electives
IDS435
Optimizatn Models & Methods
IDS561
Analytics for Big Data
IDS564
Social Analytics
IDS566
Adv Text Analytics Business
IDS567
Business Data Visualization
IDS576
Adv Predictive Models Business
IDS594
Special Topics in IDS
Business Electives
Analytics-related business electives approved by the director of graduate studies, such as the following:
ACTG516
Financial Statement Analysis
FIN510
Investments
FIN516
Options and Futures Markets
IDS523
Audit & Control Info Systms
IDS552
Supply Chain Management
IDS573
Risk Management
MKTG561
Consumer Behavior
IDS540
Marketing Analytics

Program Faculty

Head and shoulders photo of Yuheng Hu

Yuheng Hu

Assistant Professor of Information and Decision Sciences
Selva Nadarajah,Assistant Professor of Information and Decision Sciences

Selva Nadarajah

Assistant Professor of Information and Decision Sciences
Head and shoulders photo of Aris Ouksel

Aris Ouksel

Professor of Information and Decision Sciences
Chiara Poletti headshot

I grew up in a small village and worked my way up to one of the best European Business Schools for a bachelor’s in business administration, a Masters in Corporate Finance, and two exchange semesters in top American universities. Professionally, I worked briefly in the accounting and corporate finance field, and then I moved to a consulting for FinTech role.

During these experiences, I saw firsthand that sometimes big data and advanced analytics remain buzzwords, with companies not making the most value out of data. I then decided that it was time for me to step in and learn those skills. At UIC, I found a great match in the MSBA program. Here I am learning how to leverage data using cutting-edge techniques. I now can't wait to apply these skills in my upcoming Summer Internship at a top American FinTech company!

Chiara Poletti
Class of '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 (BAO) 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 our top recruiters for internships, co-ops, and placements:

  • AArete
  • Accenture
  • Aetna
  • Amazon
  • Assurant Solutions
  • Blue Cross & Blue Shield
  • CAN Insurance
  • Capgemini
  • Capital One
  • Cardinal Health
  • Caterpillar
  • CME Group
  • Critical Mass
  • Crowe Horwath
  • 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
  • Paypal
  • PwC
  • 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 Workshops

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 (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.