facebook

Master of Science Business Data Analytics

利记sbo

Become an in-demand business data analytics professional and accelerate your career in a field projected to grow much faster than average for all occupations.

The College of Business and Information Technology is accredited by

thumbnail_AACSB-logo
quotes

利记sbo has so many ties to local industries, and has a great reputation.  I found that there were many fellow alumni in my field of work, and it made a difference.”

CoBIT Alum

94%


GRADUATE STUDENTS IN COBIT
EMPLOYED AT TIME OF GRADUATION

With more and more data being collected every day, the demand for data analytics experts is booming. In nearly every industry, solutions are needed to solve complex, big data problems. At Lawrence Tech, you’ll develop the critical thinking skills required to define, discuss, and solve complicated problems related to managing, analyzing, and disseminating vast amounts of information.

Why Business Data Analytics at 利记sbo?

  • Classes are available online, on-ground, and in hybrid format to accommodate the busy schedules of working professionals – you can do the entire program from home
  • You’ll experience abundant and diverse networking opportunities by taking classes with a student population employed across 130+ businesses and organizations
  • Expert faculty with research experience in artificial intelligence, big data, data mining, and more will provide you with advanced knowledge and skills
  • Real-world problems presented by professors who have worked in the field will prepare you to solve the data challenges of today

Meet the Faculty

salaymeh_crop

Areej Salaymeh

Assistant Professor

Salaymeh received her Ph.D. in the Department of Computer Science of Wayne State University, and her teaching interests are in Artificial Intelligence and Designing Algorithms. Her research areas include Machine Learning, Data Science, Deep Learning, Multi-agent Systems, Reinforcement Learning, and Data Mining with applications of Intelligent Transportation Systems and Business Analytics.

Office of Admissions

800.225.5588
admissions@3588612.com

College of Business and IT

248.204.3050
busitdean@3588612.com