Master of Data Science

School of Computer Science

Course Fee

MVR 4,599 per month x 15 months

Master of Data Science

MVR 4,599 per month x 15 months

Duration

1 year

Programme Level

Postgraduate Programmes

MNQF Level: - (9)

Awarding Body

Villa College

Intakes

January / May / September

Study Mode

Face To Face

Code

MDS

Explore

Course Overview Entry Requirement Key Features Programme Structure Programme Fees Learning Outcomes

Overview

The Master of Data Science (MDS) Programme is designed to provide students with the advanced skills and knowledge required to excel in the dynamic field of data science. The curriculum covers a wide range of modules through which students will gain expertise in programming, machine learning, and data management, and will prepare them to tackle complex challenges in various industries. Graduates of this programme will emerge as skilled data scientists capable of handling complex data challenges, making informed decisions and driving innovation across various industries. They will be well-equipped to shape the future through data-driven insights and contribute to the evolving landscape of data science.

This programme provides the necessary skills required for data analysis, data manipulation, writing efficient code, and implementing algorithms. Students learn to build predictive models, understand feature selection, and evaluate model performance. The programme develops students’ analytical thinking and equips them with tools to design algorithms that can handle, integrate and store large and complex datasets and cloud-based technology for big data. It also incorporates a master’s level data science project in which students apply their knowledge to a real-world project, demonstrate their ability to tackle complex data challenges, make informed decisions, and communicate findings, thereby solidifying their skills as professional data scientists.

Entry Requirement

General Entry Criteria

A related Bachelor’s Degree OR
A related Graduated Diploma at level 8

Alternative Entry Criteria

25 years old AND
Completion of a related Level 5 qualification AND
7 years of relevant experience (of which 3.5 years of experience is obtained after completion of a Level
5 qualification) AND
completion of an MQA approved Pre-Master’s Programme. OR

25 year old AND
Completion of a related Level 6 qualification AND
6 years of relevant experience (of which 3 years of experience is obtained after completion of a Level 6 qualification) AND
Completion of an MQA approved Pre-Master’s Programme

Key Features

The broader goals of the programme are as follows:

To equip students with a comprehensive understanding of data science principles, techniques, and methodologies, enabling them to proficiently analyse and interpret complex datasets.
To produce graduates with a strong sense of ethical responsibility in handling data, ensuring that they are well-versed in privacy regulations, bias mitigation, and other ethical considerations.
To collaborate effectively across interdisciplinary teams, enabling graduates to translate data insights into actionable solutions that address real-world challenges in various industries.
To inspire a mindset of continuous learning and innovation, encouraging graduates to stay updated with evolving data science trends.

Programme Structure

Core Modules

Programming with Python
Data Management
Algorithmic Data Science
Machine Learning and Predictive Analysis

Exit with a Postgraduate Certificate in Data Science

Research Methodology
Big Data Analytics
Cloud Computing
Data Analysis and Visualization
Master Data Science Project

Award Master of Data Science

Programme Fees

MVR 4,599 per month x 15 months

Learning Outcomes

Upon successful completion of this programme, students will be able to:

Demonstrate a deep understanding of data science principles, methodologies, and techniques to effectively analyse, interpret, and draw insights from complex datasets.
Apply machine learning techniques to solve complex problems, and carry out predictive modelling, classification, clustering, and regression.
Employ distributed computing frameworks and big data technologies to process, analyse, and extract valuable insights from large-scale datasets.
Create data visualizations and effectively communicate insights, enabling informed decision-making.
Demonstrate ethical responsibility in handling data, considering privacy concerns and ensuring data security.
Apply data mining techniques to uncover hidden patterns, relationships, and trends within diverse datasets, and contribute to strategic decision-making.
Convey technical findings and insights to both technical and non-technical audiences, demonstrating clear and concise communication skills

Villa College began its historic journey on the 28th of January 2007, with the registration of its first institute, Villa Institute of Water Sports followed by the Villa Institute of Information Technology (VIIT) and Villa Institute of Hospitality and Tourism Studies.

Villa College QI Campus

Rah Dhebai Hingun 20373 Male', Maldives

Villa College

About Us Governance Career Media Center Certificate Verification

Programmes

Foundation Programs Undergraduate Programmes Postgraduate Programmes UWE Programmes Taylor's Programmes VC Programmes Maldives National Skills Development Authority (MNSDA) Programmes

Student Resources

Academic Calendar Forms for Students Student Policies Learning Support Graduation Student Handbook

Quick Links

Moodle MyVC Portal Student Association Public Resource

Research

IJSRI ICSRI Research Digest

Resources

Downloads Partners Faculties Campuses

Reach Us

Your use of this site is subject to Terms of User