Data Science (M.A.S.)
At Illinois Tech, data science isn’t just about data. Surprised? Data science is about applying the scientific method to data analysis in the real world—in other words, sensemaking.
Students in the Master of Data Science program dive deeply into the underlying premises of given problems, learn to reformulate the questions, and determine if the results make sense. They do this by exploring and improving the structure of the available data, creating and evaluating models, and by constructing and testing hypotheses. They learn how to analyze the data, visualize the results and equally important, how to articulate their discoveries.
By combining high-level mathematics, statistics, and computer science skills with the ability to communicate results, data scientists make a complicated and dynamic world more comprehensible.
Illinois Tech’s rigorous data science curriculum provides the knowledge, skills, and experience to expand your career opportunities. Whether in Chicago with its diverse economy and thriving tech community or across the globe, our data science alumni have bright futures in the data science profession.
At Illinois Tech, make sense of data using high-level mathematics, statistics, and computer science, and become skilled at communicating your insights and results. Learn to think about real problems, not just apply tools.
Since data scientists are in demand in a variety of industries, careers with a data science degree can vary greatly.
- Data analyst
- Data engineer
- Business analyst
- Marketing analyst
- Data and analytics manager
- Business intelligence analyst
- Data mining specialist
A bachelor's degree, although not necessarily in computer science, is required with a minimum overall GPA of 3.0/4.0.
Minimum GRE scores of 304 (quantitative + verbal) and 2.5 (analytic writing) must be submitted.
One letter of recommendation is required, but two are preferred.
Submittal of a professional statement of objectives.
Applicants whose bachelor's degree was earned at an institution where English is not the primary language of instruction must submit TOEFL/PTE/IELTS scores.
Mamta Kanvinde still reviews the notes she took during class while earning her Master of Data Science degree at Illinois Tech.Mamta Kanvinde (M.A.S. DSC ’16)
The concepts learned at Illinois Tech's Master of Data Science program are directly utilized during Niharika Karia's day-to-day work in process optimization.Niharika Karia (M.A.S. DSC ’16)
Lessons learned through faculty mentoring impact Utkarsh Khanna’s approach to workplace projects.Utkarsh Khanna (M.A.S. DSC ’16)
Rakesh Adhikesavan’s practicum reinforced data gathering and programming skills, but also how to communicate his results to others.Rakesh Adhikesavan (M.A.S. DSC ’17)
Daniel Bajic learned just as much outside of the classroom as he did inside the classroom while earning his Master of Data Science degree.Denis Bajic (M.A.S. DSC ’17)
As an IT analyst, Yin Wu uses tools and technologies such as machine learning, statistics, and data visualization, all of which she studied in the data science program.Ying Wu (M.A.S. DSC ’17)