Master of Science in Data Analytics (MSc) Online
The Master of Science in Data Analytics (MSc) Online will enable you to develop the expertise to plan, design and implement appropriate data analytics solutions, and in turn, succeed in the real world.
Study a flexible, affordable degree built for online learners. Aston University empowers you to enhance your employability and tackle real-world problems with a curriculum enriched by strong links to industry.
Programme Overview
This MSc programme focuses on developing a systematic understanding of data analytics, providing you with the knowledge and skill set to plan, design and implement appropriate data analytics solutions in practical scenarios. With a broad knowledge of data analytics techniques and the intellectual skills to create well-justified solutions, you will be prepared for future challenges in the field of data analytics.
College of Engineering and Physical Sciences: The College of Engineering and Physical Sciences (EPS) at Aston University is a hub of teaching and research excellence, engaging in collaborative and impactful research throughout our institutes and schools.
Top 25 UK University: Aston University is ranked 25th in the UK in the Guardian University Guide, 2024.
Runner Up for Graduate Employment: Aston University is the University of the Year Runner Up for Graduate Employment in The Times and Sunday Times University Guide 2024. Aston University is ranked at 18 for graduate prospects and at 22 for continuation rate.
Outstanding earnings after graduation: The 2022 Longitudinal Education Outcomes (LEO) data shows that employed Aston University graduates have the 16th largest median salary overall five years after graduation at £33,400.
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What You Will Learn
- Design solutions to real-world problems: Create solutions based on a knowledge of theories, principles and underlying concepts of data analytics.
- Create and implement algorithms: You will learn to plan, design and implement advanced computational skills and be able to assess the applicability of these algorithms.
- Analyse and critique methodologies and techniques: Fully understand and analyse methodologies and techniques related to data analytics and employ this knowledge to solve problems.
- Communicate complex data analytics concepts: No matter the audience (academic, technical or non-technical), you will be able to communicate complex data analytics concepts.
- Evaluate data analytics systems: Having an awareness of ethical and legal implications, you will learn to evaluate data analytics systems.
Why Study Online With Aston University?
Studying online through Aston University offers various advantages, making it an appealing choice for prospective students globally.
Flexibility and convenience – fit your studies into your work-life balance.
Built for online – interactive, engaging, and purpose-designed curriculum available 24/7.
Affordable – spread the cost, pay monthly or in instalments, and earn as you learn.
Supported – dedicated student support and online tutors.
Expert tutors – staff with industry experience and experts in their fields.
Empowering creativity – complimentary full access to Adobe Creative Cloud tools for developing dynamic multimedia content and presentations through video, graphics and audio.
Transparent pricing – apply for free, with no hidden costs.
Ready for work and life – rigorous academic standards and curriculum focusing on the skills sought by employers (for now and the future).
University of the Year
Aston University was awarded University of the Year 2020 by the Guardian
I have to say, I had a great experience doing my course online
Career Prospects
Our Master of Science in Data Analytics (MSc) Online programme will prepare you for a range of careers across the public, private and third sectors. Graduates are in high demand and are employed in a variety of settings, including banks, consultancies, government departments, charitable and not-for-profit organisations.
Roles our graduates have gone on to secure include:
Business Analyst: Use data to inform strategic decisions, improve business, and optimise operations.
Data Analyst: Collect, analyse, and interpret complex data sets to help companies make informed decisions.
Financial Analyst: Use financial data from revenue, expenses and income to help companies make better financial decisions.
Data Quality Analyst: Ensure that data sets are accurate, reliable, and usable by detecting and correcting corrupt or inaccurate records from a record set, table or database.
Assessment Types
The programme will be assessed through a combination of written examinations, individual and group coursework, projects, presentations and practical assessments.
Programme Structure
Our Master of Science in Data Analytics (MSc) Online curriculum equips you with a comprehensive understanding of the field. You will delve into a wide range of topics, gaining the skills and knowledge to design and implement skilful solutions using collected data.
Modules
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30 credits
An introduction to the fundamental skills required to succeed in the programme. You will be introduced to programming in Python and database concepts. Alongside this, you will enhance your skills in areas such as calculus, linear algebra, probability and statistics.
Machine Learning in Practice: Applications, Responsible Use and Ethics
30 credits
Gain the practical skills and understanding of all stages of the machine learning pipeline to prepare you for your future career and further study. Twinned with this, you will also consider the theoretical and ethical underpinnings of AI. Real-world problems will be chosen as case studies, offering a realistic view of the current progress of AI, while also focusing on challenges such as sustainable AI practices and more.
Neural Networks and Deep Learning
30 credits
An introduction to the theory of neural networks and deep learning technologies with a focus on applications to real-world problems. You will learn how various methods interrelate, their advantages and disadvantages concerning specific problems, and their theoretical underpinnings.
Prescriptive Analytics
30 credits
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision-making in organisations. You will develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial. The module also aims to provide you with hands-on experience on implementing an efficiency and productivity assessment using methods such as Data Envelopment Analysis or Stochastic Frontier Analysis.
Programme Outcomes
- Design solutions to real-world problems based on a knowledge of theories, principles and underlying concepts of data analytics.
- Create and implement algorithms using advanced computational skills and be able to assess the applicability of these algorithms.
- Analyse and critique methodologies and techniques related to data analytics and employ this knowledge to solve problems.
- Communicate complex data analytics concepts for academic, technical and non-technical audiences.
- Evaluate data analytics systems in light of their ethical and legal implications.
- Critically review academic and professional literature and conduct independent research using appropriate tools.
Modules
Major Project
30 credits
You will have the opportunity to undertake a major individual project. They can be undertaken in various settings, fields and disciplines subject to meeting the intended learning outcomes, and must be consistent with the discipline studied. Through this module, you will have the opportunity to showcase your knowledge and skills from past experiences. You will produce a substantial piece of individual work that forms the capstone project of the MSc.
Aston Global Advantage and Research Methods
30 credits
Access a transformational opportunity to work within inclusive teams to investigate, develop, and propose a novel, digital, data-driven, entrepreneurial AI-enabled, software-based solution to a real-world business challenge and prepare you for your major project.
At Aston University, we have an unwavering commitment to academic excellence
Entry Requirements
- A 2:2 Honours Degree or international equivalent in a numerate, technical or scientific subject. (Students will be given instruction and practice opportunities in coding, statistical and mathematical fundamentals, but prior experience of both is desirable.)
- * English language skills are assessed during admissions. If we need evidence of your English language skills, we may ask you to take one of the recognised tests such as IELTS.
Additional requirements
- If you are a current student or recent graduate (within the last 2 - 3 years), we will ask for an academic reference.
- If you are currently employed and not a recent graduate, we will ask for a professional reference.
- An official academic transcript of your university grades to date.
- A completed application form.
Alternative entry requirements
We accept applications from candidates with relevant work experience who have not completed a graduate qualification.
We take a holistic approach in evaluating applications. The information contained on this website details the typical entry requirements for this programme for the most commonly offered qualifications. Applicants with alternative qualifications may wish to enquire prior to application whether or not their qualifications are deemed acceptable. For less commonly encountered qualifications this will be judged on a case-by-case basis in consultation with the academic admissions tutor.
Please contact our Admissions Team for advice before applying at: enquiries@astononline.ac.uk
International students
Students from over 120 countries choose to study with us every year. You can check qualifications in your country here, including equivalent qualifications from Africa, Americas, Australia, North East Asia, Europe, Middle East & North Africa, South Asia, South East Asia, and Western and Central Asia.
Have a question about our international entry requirements for online programmes? Email us at: enquiries@astononline.ac.uk
English language requirements
Applicants whose first language is not English will be required to provide evidence of an English language qualification.
Find Out If You Qualify
If you have any questions about your eligibility or the application process, please get in touch with the Aston Online Admissions Team:
Email: enquiries@astononline.ac.uk
Call: +44 (0) 121 824 6374
Our office is open Monday to Friday, 09:00-17:00 GMT
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