Master of Science in Data Science

University of Malta

Master's degree

Study Discipline: Computer Science & IT, Science & Mathematics

Study Programme Details

City: Msida

Country: Malta

Admission Sessions: Autumn Session

Study Format: Part Time

Mode of Study: Fully on Site

Visit Programme Website

Programme Type

Master's degree

Duration

36 Months

Scholarship Available

Yes

Language

English

About this Study Course

In today’s digital landscape, the ability to navigate and extract insights from vast amounts of data is paramount across various industries. The Master of Science in Data Science program is meticulously crafted to equip you with the foundational knowledge and advanced techniques necessary to thrive in this data-driven world. From finance to healthcare, academia to government, data science underpins innovation and decision-making. Our curriculum delves into the core principles of data science, blending theoretical rigor with practical applications. Whether you aspire to unravel complex datasets or develop cutting-edge machine learning models, this program offers a comprehensive journey into the heart of data science.

Overview

Embark on a transformative journey into the realm of data science with our Master of Science program. Dive deep into theoretical concepts and practical applications as you unravel the mysteries hidden within big data. Through hands-on experience and expert guidance, you’ll learn to manage, organize, and analyze data with precision and insight. From foundational courses in probability and statistical inference to advanced topics in machine learning and data analytics, our program prepares you to tackle real-world challenges with confidence and expertise. Join us and become a master of data science, ready to make an impact in any industry.

Admission Requirements

a Bachelor degree pegged at Level 6 on the Malta Qualifications Framework and obtained with at least Second Class (Honours) or Category II in ICT or an area with a strong ICT component, or in Engineering, or
a Bachelor degree pegged at Level 6 on the Malta Qualifications Framework classified with Third Class Honours or Category III in the areas outlined in paragraph (a) above, provided that such applicants shall satisfy the Board of Studies that they are in possession of other qualifications, or relevant work experience, obtained following their first cycle degree. The Board of Studies may recommend to the Faculty Admissions Committee that the admission of such applicants may be made conditional on the results of an interview conducted for the purpose or
any other Honours degree obtained with at least Second Class Honours, provided that applicants would have successfully completed at least three individual study-units as directed by the Board, prior to being admitted to the Course.

CIS5223 Concepts, Techniques and Practical Aspects of Scientific Research (5 ECTS)
ICS5110 Applied Machine Learning (5 ECTS)
SOR1510 Foundations in Probability, Sampling and Estimation (5 ECTS)
ARI5102 Data Analysis Techniques (5 ECTS)
MAT1802 Mathematics for Engineers 2 (4 ECTS)
SCI5020 Principles of Statistical Inference (5 ECTS)
CCE5108 Data Science in Python (5 ECTS)
CIS5113 Large Scale Databases (5 ECTS)
ICS5111 Mining Large-Scale Data (5 ECTS)
CCE5106 Advanced Neural Network Models (5 ECTS)
CIS5230 Data Analytics on the Cloud (5 ECTS)
CIS5231 Topics in Applied Data Science (6 ECTS)
Dissertation (ICT5012, 30 ECTS)

Non EU Applicants:

Total Tuition Fees: Eur 13,400

Local/EU/EEA Applicants:

Total Tuition Fees: Eur 7,500

Future Career Outcomes

Our graduates emerge as sought-after professionals in the dynamic field of data science. Armed with a comprehensive skill set and practical experience, they are well-equipped to excel in a variety of roles across industries. Whether spearheading data-driven initiatives in multinational corporations or driving innovation in start-ups, our alumni are at the forefront of shaping the future of data science. With a growing demand for skilled data professionals, the career possibilities are endless for graduates of our program.