Data Is Everything.
Today, some of the most interesting and well-paying math and computer science-oriented careers need advanced data skills:
- Data Scientist
- Data Analyst
- Operations Research Analyst
- Financial Analyst
- Quantitative Financial Analyst
- Risk Analyst
If you’d like to learn more about how to use data to drive decisions, look into the data-driven decision-making graduate degree programs at Illinois Tech. These rigorous, relevant interdisciplinary degrees combine high-level quantitative education with real world practice in hot fields.
Extract value from mass quantities of data using high-level mathematics, statistics, and computer science. Not tools-based; teaches the underlying science, so you can become a true problem-solver. McKinsey estimates a shortage of 190,000 people with these skills by 2018. Available online.
Superior quantitative education for people who want to do financial risk management with advanced education in theoretical, computational, and business aspects of quantitative methodologies relevant to the financial industry.
Alumni work at places like CME Group, Citigroup, Goldman Sachs, JPMorgan Chase & Co., or Morgan Stanley. Ideal balance of theory and practice; some instructors are financial practitioners.
Make the best decisions possible given the constraints of a problem; help organizations identify efficiencies and operate more effectively. This program was designed to meet the growing demand for computationally proficient decision scientists and operations research professionals.
The U.S. Bureau of Labor Statistics estimates there will be a 27 percent increase in operations analysts from 2012-2022, or 19,500 new jobs.
Use advanced mathematics to help companies operate better, e.g., manage risk in an insurance company. Program includes team and communications skills. Students take the Society of Actuaries Exam P (probability) and prepare for Exam MFE (models of financial economics).
Projected growth of 26 percent from 2012-2022, per U.S. Bureau of Labor Statistics.
Prepare for a career in market research, business analytics, or social media marketing by learning how to harness massive quantities of consumer data through marketing strategy, predictive analytics, and cognitive computing.
Learn how to identify pressing issues facing the business community, structure problems and gather data, and present strategic, impactful solutions through quantitative methods, analytical tools, and computer models.
Gain hands-on experience working in the financial markets through coursework and interactive opportunities to apply your knowledge in computational finance, financial technology, statistics, and modeling.