UoB – MSc Data Analytics and Technologies – Western International College

UoB – MSc Data Analytics and Technologies

Awarded By

This degree is awarded by the University of Greater Manchester and distance delivered by WINC

OVERVIEW

The MSc Data Analytics and Technologies is an innovative and dynamic program designed to equip students with the necessary skills and expertise in data analytics. Students will learn how to analyse and interpret data, uncover valuable insights, and effectively communicate their discoveries. This programme combines specialised study in data analytics with essential training in high-level transferable skills.

The MSc Data Analytics and Technologies programme offers a comprehensive curriculum that equips students with the necessary technical skills and analytical capabilities to excel in the field of data analytics. Graduates will be well-prepared for a successful career in this rapidly growing field, as they will have the ability to make sense of complex data and effectively communicate their findings. By enrolling in this programme, students can become masters of their own career development, with the knowledge and skills to thrive in data analytics.

About University of Greater Manchester

The University of Greater Manchester, based in Bolton, United Kingdom, is an esteemed institution dedicated to delivering excellence in education. With a rich history spanning over 190 years, the university is renowned for its rigorous academics, innovative teaching methods, and emphasis on practical skills development.

The University of Greater Manchester prepares students for their future careers by offering globally recognised programmes and a curriculum designed to meet industry demands. With a focus on practical learning and real-world applications, students graduate equipped with the knowledge and skills to make a meaningful impact in their chosen fields.

Entry Requirement

You should have at least a lower second class (2.2) honours degree (or equivalent) in a computing-related subject or five years of relevant work experience.

If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications.

How Students Study

Learning and teaching methods apply a blended style. This may include lectures, seminars, tutorials and critiques, self-directed learning, e-learning and laboratory/workshop sessions, as well as online sessions and support. Practical skills are acquired through technical introduction and support, workshop sessions, demonstrations and activity-based assignments. Active learning is promoted with a strong practical theme, throughout.

Qualification Structure

The following modules will be covered in the MSc Data Analytics and Technologies degree course, carrying a total of 180 credits.

Course Title	Credits	Module Type
Professional Practice	20	Core
Research Methods	20	Core
Data Analysis and Visualisation	20	Core
Big Data Analytics	20	Core
Data Mining and Machine Learning	20	Core
Business Analytics	20	Offered
Project	60	Core

Data Science - 30 credits

This module strengthens data analysis and visualisation skills in a lab setting, using real-world data and industry tools. It builds on prior knowledge and applies it to other program modules and the capstone project, emphasising critical thinking, creativity, innovation, and skills mastery.

Big Data Technologies - 30 credits

This module focuses on Big Data frameworks, Cloud technologies, and data analysis. Students learn core concepts, tools like Hadoop and Spark, data structuring, and analysis. It builds on previous knowledge, integrates into other modules and the capstone project, and covers attributes like Influence, Impact, Critical Creativity, and Innovation.

Solutions Design and Ethical Practice - 30 credits

This module covers solution design, including problem identification, data collection, modelling, algorithm selection, and data visualisation. It emphasises ethics in data analytics, covering data privacy, bias mitigation, compliance, and responsible AI. Students gain technical skills and ethical awareness for success in the field.

Research Methods - 30 credits

This module enhances research skills, critical thinking, and creative problem-solving. It covers evaluating research papers, literature searching, choosing research methods, and setting research goals. It builds on prior learning and prepares you for the capstone project. It addresses attributes like Influence and Impact and Critical Creativity and Innovation.

Masters Project - 60 credits

This module focuses on research skills and advanced technical knowledge in a chosen subject. Students select a project theme, get it approved by a supervisor, conduct research, and submit a dissertation. It covers attributes like Influence and impact, Critical self-management, Critical creativity and innovation, Professional identity, and Skills mastery.

Career Progression

As a graduate of this master’s degree, you’ll possess an impressive all-round combination of skills and knowledge. In addition to a strong theoretical and practical knowledge of data analytics and technologies, you’ll be able to demonstrate essential interpersonal and people skills, such as collaboration and team working, negotiation and persuasion. You’ll have a clear understanding of the contexts in which data analysts work, coupled with commercial awareness and business-relevant knowledge. You’ll also possess high-level academic skills in research, critical thinking and curiosity. Not only will all this help you become established early on in your career, but you’ll also be primed to take on leadership roles. Moreover, you’ll have the lifelong learning, problem-solving and decision-making skills needed to adapt to new challenges throughout your career.

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