Programmes > International Credit Transfer > United States

MS Data Analytics

Duration: 2 Years (1 year in PSGIAS and 1 year at UNIVERSITY OF CENTRAL FLORIDA, USA)

Degree: Master of Science in Data Analytics from UNIVERSITY OF CENTRAL FLORIDA, USA

The Master of Science in Data Analytics at the University of Central Florida is a 30-credit interdisciplinary graduate program offered by the College of Engineering and Computer Science. It prepares students to manage, analyze, and interpret large volumes of data to support data-driven decision-making and innovation across industries. The curriculum covers advanced analytics, machine learning, data mining, visualization, statistical methods, and computational data processing. In today’s digital economy, organizations generate massive amounts of data every second.

Data Analytics equips students with the skills to translate raw data into strategic business insights, helping companies make faster, smarter, and more evidence-based decisions. The program emphasizes technical competencies such as algorithm design, statistical analysis, computational data processing, and data mining, coupled with practical experience through projects and internships empowering graduates to solve real-world problems.

Pathway to our Partner University in the United States of America

Semester 1-2

PSG IAS, Coimbatore (Orientation Phase)

Semester 3-4

University of Central Florida, USA (Research Phase)

Curriculum Highlights

  • ✔ Network science
  • ✔ Statistical Analysis
  • ✔ Machine Learning
  • ✔ Data Preparation
  • ✔ Python Programming Lab
  • ✔ Big and Modern Data Base Systems
  • ✔ Advanced Data Structures
Download Brochure University of Central Florida Website

Admission to PSG IAS, Coimbatore, India

  • AAtleast >7.5 CGPA in 4 years Engineering degree Computer Science/ Engineering, Information Technology, Electrical Engineering, Electronics and Communication Engineering, MCA or MSc Computer science.

Eligibility to progress from PSG IAS to University of Central Florida, USA

  • TOFEL score of more than 80(out of 120) or IELTS overall score of 6.0 (with no band score less than 5.5) with CGPA 7.0 and above.