Master of Science in Data Analytics

Extract Value

Effectively analyzing big data helps agencies and organizations become better, smarter, and faster—which is why experts in data analytics are in great demand. Fordham’s master’s degree in data analytics will prepare you for a career in this fast-growing field by giving you the tools to find the story behind vast amounts of data.

You’ll develop the technical abilities and the communication skills to analyze and interpret data in real time. You’ll also benefit from our small class sizes where you’ll have the chance to interact with faculty members who have expertise both in the field and in the classroom.

Program Highlights

• Designed to meet the demands of an ever-evolving job market
• Develop in-depth knowledge of manipulating large dataset and building computational models 
• Explore specific areas of interests, such as Cybersecurity, Economics, Biology, Psychology, Computational Finance, or Urban Studies
• Hands on experience with cutting-edge technologies such as Tableau, Spark, Deep Learning and Natural Language Processing

Program Basics

• Curriculum requires 10 courses for a total of 30 credits, including five core courses, four electives, and a Capstone Project
• A master’s thesis is optional – if taken, it consists of two subsequent courses which replace the Capstone Project and one elective
• One (1) internship (optional – if taken, this replaces the Capstone Project)
• Designed as a one-to-two year program
• Evening courses to accommodate working professionals

Admissions Requirements

• Applicants with undergraduate degrees in non-computer science areas are welcome
• GRE is recommended, but not required
• International students: TOEFL minimum 85*, IELTS equivalent 6.5 (visit ETS TOEFL or call 1-800-GO-TOEFL. Fordham’s GSAS Institution code is 2259. Allow four to six weeks for scores to be processed and sent to Fordham.

*Applicants with TOEFL scores below 85 may still apply

Careers

Experts in data analysis who can draw meaningful insights from data are highly sought after in a number of fields, including government, finance, marketing, and health care. Job titles include:

• Data analyst
• Data scientist
• Chief information officer

"Whether it is mining and cleaning the data, building machine learning models, or visualizing and communicating results, I feel  that I am prepared for the challenges of working with big data. The professors are willing to go the extra mile to ensure that students understand difficult concepts and can implement and apply them to real world situations.” - Jeffrey R., NFL Competition 4th Place Winner; Analytics Manager at ESPN+

50 Best Jobs in America
According to the Glassdoor ®, four out of the top ten jobs in America are in Data Analytics.