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 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.
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.
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.
Data Science
Department of Applied Mathematics
Converges fundamental knowledge in mathematics, statistics, and computer science with practical skills in programming, data management, and advanced computing. Combine high-level mathematics, statistics, and computer science skills with the ability to communicate results to make a complicated and dynamic world more comprehensible.
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
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.
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.
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.
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.
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.
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.
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.
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.
LL.M. Program in Legal Innovation + Technology
Â鶹APP-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.
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
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.