MS in Data Analytics Engineering
The MS in Data Analytics Engineering is a multidisciplinary degree programme in the College of Engineering and Computing, and is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business/government intelligence and other information intensive groups generating and consuming large amounts of data.
Duration: 1.5 years | Type: Masters
Cost of Living: USD 60,000 per year
Admissions
- Fall Semester - 15th March
- Spring Semester - 15th October
Documents Required
- Online Application
- Transcripts
- Statement of Goals
- Resume
- Letters of Recommendation
- Self-Evaluation Form
- English Language Proficiency
Test Type & Score
- TOEFL - 88
- IELTS - 7
- PTE - 67
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Student Success Stories
Read about the success stories of students who have achieved their educational aspiration.
Vansh Singh
Masters in Data Science, University of Bath, UK
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MS in Computer Engineering, University of Southern California, USA
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MSC Food Science & Biotechnology with Advanced practice, Teeside University, UK
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