Intelligence Student

Intelligence Programs

Collecting and analyzing big data has become an integral aspect of successful businesses, industry, and public sectors. Illinois Tech’s programs in intelligence will help show how machine learning, computation, and data is being incorporated into computer science, mathematics, humanities, engineering, and the sciences.

Bachelor’s Degrees

Applied Analytics

Department of Psychology

Combine data analytics with expertise in communication and human behavior to construct a story from data samples for diverse audiences. Learn to collect, curate, and analyze data, and tailor the program to specialize in advanced statistics, data mining, information management systems, geographic information systems, online social networks, and psychological testing.

Learn More

Applied Mathematics

Department of Applied Mathematics

Learn to apply modern mathematical methods to a variety of fields through specialized coursework. Stochastics can be applied to intelligent decision making in finance, study of turbulent flows, and climate change. Statistics provides the foundation and practical tools in studying, understanding, and dealing with data. Computational mathematics provides the fast, accurate algorithms used in modern science and engineering. Applied analysis leads to careers in multiscale analysis, and complex fluid and materials. Discrete mathematics is the math of networks, data reliability, and statistical inference.

Learn More

Artificial Intelligence

Department of Computer Science

Illinois Tech is the only Midwest university to offer a bachelor’s degree in artificial intelligence. Learn core AI concepts and techniques including state-space search, game-playing, machine learning, neural networks, planning, computer vision, and language understanding.

Learn More

Bioinformatics

Department of Biology

Blend courses in biology, chemistry, and physics with courses in programming, statistics, and other methods to develop strengths in science and use of data processing tools to advance scientific knowledge. Develop in-demand programming and analytical skills through a solid, balanced offering in STEM courses. Machine learning is used frequently for analyzing genome data and gene prediction. Deep learning is useful in areas such as improved protein structure prediction and COVID-19 modelling.

Learn More

Statistics

Department of Applied Mathematics

Work with data and statistical models, perform and communicate statistical analyses, and study societal impacts and ethical issues of statistical practices. Coursework includes a strong computational emphasis as well as the fundamentals of mathematical and statistical theory

Learn More

Master’s degrees

Applied Mathematics (M.S.)

Department of Applied Mathematics

Become ready to enter the workforce or prepare for the rigors of Ph.D. coursework and research by learning modern mathematical techniques and modeling in this master’s program. Learn to make intelligent decisions based on a quantitative tool set of skills. Specializations include computational statistics for data science, discrete computation and optimization, and stochastic computation.

Learn More

Artificial Intelligence

Department of Computer Science

Become proficient in the theoretical concepts and practical applications of artificial intelligence. Coursework and research opportunities cover foundational concepts and practical skills in artificial intelligence subfields, including machine learning, deep learning, computer vision, natural language processing, probabilistic reasoning, and data analytics.

Learn More

Artificial Intelligence, Computer Vision, and Control

Department of Electrical and Computer Engineering

Maximize exposure to rapidly changing AI technologies, machine learning, and methods while particularly targeting electrical and computer engineering topics. Innovative research, state-of-the-art laboratories, and specialized courses focus on emerging technologies such as the internet of things and cyber physical systems.

Learn More

Autonomous Systems and Robotics

Department of Mechanical, Materials, and Aerospace Engineering

Develop the advanced knowledge and skills needed to discover innovations through a proactive experience combining cutting-edge technologies and research. Rigorous coursework and forward-thinking engineering turn theory into practice in the advancement of self-driving cars, unmanned air vehicles, robots, and a range of other autonomous and semi-autonomous systems.

Learn More

Biomedical Data Science and Modeling

Department of Biomedical Engineering

Special emphasis is placed on the principles of mathematical modeling, machine learning, biostatistics, and bioinformatics. Gain the skills to identify problems related to mathematical modeling, to carry out statistical analyses of biomedical data, to implement machine-learning methods for biomedical applications, and to solve biomedical engineering problems in bioinformatics.

Learn More

Computational Decision Science and Operations Research

Department of Computer Science
Department of Applied Mathematics

Discover diverse techniques to improve decision-making, including simulations, mathematical optimization, data analysis, statistics, neural networks, expert systems, and decision analysis. Research opportunities offer hands-on experience with real-world problems and ties to industry.

Learn More

Data Science

Department of Computer Science
Department of Applied Mathematics

Dive deeply into the underlying premises of given problems, learn to reformulate questions, and determine if the results make sense. Explore and improve the structure of available data, create and evaluate models, and construct and test hypotheses. Learn methods to analyze data, visualize the results, and articulate the discoveries.

Learn More

Marketing Analytics

Stuart School of Business

Prepare to be a forward-thinking marketing specialist who can convert data into insights, transform information into communication, and translate marketing analytics into a competitive advantage in the new economy. Develop knowledge and skills in business, analytical methods, and technology.

Learn More

LL.M. Program in Legal Innovation + Technology

Chicago-Kent College of Law

Gain a firm understanding as to how emerging technologies, big data, and innovation in the legal industry enhance and impact the practice of law and the delivery of legal services. Discover the knowledge and skills in emerging tech that are fast becoming essential for lawyers to understand clients’ businesses and needs.

Learn More

Certificates

Computational Intelligence

Department of Computer Science

Learn the ways in which computers may learn and adapt based on data so as to solve complex problems in various areas of computer science. Topics covered include artificial intelligence, computer vision, data mining, machine learning, natural language processing, and more

Learn More

Data Analytics

Department of Computer Science

Discover patterns in large amounts of data from information systems and on drawing conclusions based on these patterns. Explore topics critical to data analytics, including data mining, data integration warehousing, data-intensive computing, machine learning, and data preparation and analysis.

Learn More

Data Management and Analytics*

Office of Professional Development

Discover a broad range of data management and analysis topics, including database design, implementation, and administration, as well as database management and programming. Hands-on projects are incorporated into the coursework.

Learn More

*Credits in this certificate program cannot be applied to degree programs.