Data Intelligence, M.S.D.I.

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College of Engineering
Departments:
•   Industrial and Management Systems Engineering
•   Computer Science and Engineering

Major Contacts, Deadlines, and Delivery Information

This major shares a core with the Industrial Engineering, M.S.I.E.

This is a self-supporting program. A cost comparison of tuition and fees can be found here.

Please note: With the exception of the Department of Children and Family (DCF) waivers, all other waivers (including State of Florida and USF employee) are not accepted for Self-Funded/Self-Supporting or Market Rate Tuition program courses. For additional information, visit: USF Tuition Waiver.

The Master of Science in Data Intelligence (MSDI) program is designed to provide engineers and scientists in-depth theoretical and practical knowledge needed for extracting intelligence from big data by developing and applying optimization, statistical, and deep and reinforcement learning models. The knowledge areas will include data visualization, data mining, predictive and prescriptive modeling, and machine learning with a specific focus on data-driven decision making for management of engineering and service systems.

Admission Information

Must meet University Admission and English Proficiency requirements as well as requirements for admission to the major, listed below.

Undergraduate degree in engineering, computer science, or other STEM disciplines with a minimum of 3.00/4.00 GPA
GRE with minimum score Q 156, Q+V 300, AW 3.0
Adequate background in mathematics and computer programming
One page statement of purpose
Three letters of reference

Curriculum Requirements

Total Minimum Hours: 30 Credit hours

Shared Core Courses - 6 Credit Hours
Additional Required Courses - 8 Credit Hours
Specializations - 16 Credit Hours

Shared Core Courses (6 Credit Hours)

ESI 6410 Optimization Methods with Applications Credit Hours: 3
ESI 6612 Statistical Foundations of Data Intelligence Credit Hours: 3

Additional Required Courses (8 Credit Hours)

CAP 5771 Data Mining Credit Hours: 3
ESI 6613 Applied Data Intelligence Credit Hours: 3
COP 5532 Data Structures Essentials Credit Hours: 2 (fully online, 8 weeks)

Specializations (16 Credit Hours)

Students will choose from any of the following specializations:

General Data Intelligence Specialization

Students can customize their studies (approved by faculty) by choosing a combination of courses from any of the following specializations.

Decision Intelligence Specialization

Complete a minimum of 16 credit hours from the following courses:

COP 5230 Object-Oriented Programming Essentials Credit Hours: 2
COT 5407 Algorithms Essentials Credit Hours: 2
EIN 6145 Project Management Credit Hours: 3
EIN 6934 Special Industrial Topics I Credit Hours: 1-3 taken as Python in Data Science (3 Credit Hours)
ESI 6247 Statistical Design Models Credit Hours: 3
ESI 6324 Engineering the Supply Chain Credit Hours: 3
ESI 6340 Probabilistic Systems Analysis Credit Hours: 3
ESI 6683 Cyber Security Analytics Credit Hours: 3
ESI 6684 Decision Making with Deep Reinforcement Learning Credit Hours: 3
Other graduate course pre-approved by the MSDI Director.

Computational Intelligence Specialization