Programs>Data Science

MSc Data Science and Engineering
(MSc)

Transform data into actionable insights using advanced analytics, machine learning, and big data technologies.

MSc Data Science and Engineering
About

About the Program

The MSc in Data Science and Engineering program combines statistical analysis, machine learning, and software engineering to prepare students for data-driven careers. Students learn to extract valuable insights from large datasets, build predictive models, and develop data-intensive applications. The program emphasizes both theoretical foundations and practical applications across various industries.

MSc Data Science and Engineering video
Details

Program Details

The key details of the MSc Data Science and Engineering program at HBKU.

Program Duration2 Years (4 Semesters)
DegreeMaster of Science (MSc)
FormatFull-time (On-Campus)
Credit Hours36 Credits
Practical Learning

Practical Learning You'll Experience

This program emphasizes hands-on learning through real projects and studio-based practice.

1.

Machine learning model development and deployment

2.

Big data processing and analytics pipelines

3.

Data visualization and storytelling

4.

Industry capstone projects with real datasets

Requirements

Eligibility Requirements

The key eligibility requirements of the MSc Data Science and Engineering program at HBKU.

1.

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field

2.

Strong background in programming and mathematics

3.

English proficiency (IELTS 6.5 or equivalent)

4.

Statement of purpose and two recommendation letters

Curriculum

Core Curriculum Overview

A structured foundation covering essential design knowledge and professional skills.

Code
Core Course
Credit
DS501
Statistical Learning and Data Mining
3
DS502
Machine Learning
3
DS503
Big Data Systems
3
DS601
Deep Learning
3
DS602
Natural Language Processing
3
DS603
Data Engineering
3
DS701
Research Methods
3
DS790
Master's Thesis
6
Testimonials

Student Stories

The curriculum balanced fundamentals and modern tools. Mentors gave practical feedback that helped me grow every semester.
Ali A. Al Kuwari

Ali A. Al Kuwari

Cohort 2024

Studio critiques were clear and supportive. I improved quickly and learned to design with purpose. Not just aesthetics.
Alina Ali Mohamed

Alina Ali Mohamed

Cohort 2023

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