UH ONLINE
MSc Data Science and Analytics
Everything is Data
Craft strategic narratives with UH Online's MSc Data and Analytics Masters programme
Intake
Duration
Mode
Delivery
Amidst data deluge, your prowess transforms chaos into actionable insights
This 100% online, part-time master's programme from UH Online is designed for busy professionals looking to advance rapidly in their career by learning and applying highly sought-after skills. Craft your journey through the realm of data insights and harness predictive prowess via big data analytics. Unearth patterns through the art of data mining, crafting narratives from the digital tapestry.
We are UH Online
Excel in Your Current Career
Elevate your career to new heights with our 100% Online MSc Data and Analytics programme from UH Online. Already immersed in another professional domain? Our part-time master's programme empowers you to amplify your existing expertise with advanced data and analytics knowledge through distance learning. Enhance your influence by mastering the intricacies of data-driven decision-making, bolstering your role in your current organisation and creating real-time actionable insights for your team.
Change Career Paths
Yearning to transition into the dynamic realm of data and analytics? Immerse yourself in a comprehensive curriculum spanning data visualisation, predictive modelling, and machine learning with our part-time master's programme. With UH Online's MSc Data and Analytics programme you can seamlessly shift into roles such as Data Analyst, Business Intelligence Specialist, or Machine Learning Engineer.
Go Your Own Way
Aspiring to be a visionary force in the field of data and analytics? Our MSc programme empowers you to carve your unique path. From mastering cutting-edge techniques to undertaking advanced research through UH Online's fully online postgraduate programme, you'll culminate your journey with an independent project. Blaze a trail in data innovation, crafting solutions to tomorrow's challenges and leaving an indelible mark on the ever-evolving digital landscape with UH Online's Online MSc Data and Analytics programme.
Advance your career with an internationally recognised degree
Flexible learning that fits your schedule
Taught by expert faculty with industry experience
Rigorous academic standards and quality control procedures
Am I Eligible
Take our Questionnaire to find out if you are eligible for the programme.
Core Modules
Responsible Technology 2 (15 Credits)
The aims of this module are to enable students to articulate social, ethical and legal issues and commercial risks together with the opportunities inherent in the use of computing technologies and the deployment of computer-based systems.
Responsible Technology 1 (15 Credits)
The aims of this module are to enable students to articulate social, ethical and legal issues and commercial risks together with the opportunities inherent in the use of computing technologies and the deployment of computer-based systems.
Big Data Analytics (15 Credits)
The aims of this module are to enable students to understand the underlying mechanisms of big data analytics. Be able to explore solutions to big data problems. Understand the legal and ethical issues in big data analytics.
Foundations of Data Science (30 Credits)
The aims of this module are to enable students to make use of basic linear algebra and its relationship to data science. Develop a deep and systematic understanding and a critical awareness of associated important issues in data science. Apply the techniques of basic statistics and data analysis, using appropriate algorithms. Implement the aforementioned algorithms in appropriate programming language(s).
Machine Learning (30 Credits)
The aims of this module are to enable students to consider the characteristics of a range of novel applications of machine learning and neural computation. Develop a deep and systematic understanding and a critical awareness of associated issues,some of which are at the forefront of machine learning and neural computation. Describe a range of strategies associated with designing artificial neural networks. Develop an ability to apply the techniques described above, and develop new skills or procedures for new situations.
Data Mining (15 Credits)
The aims of this module are to enable students to develop skills in the concepts, techniques and applications of data mining, and some of the systems for data mining.
Final Research Project
Data Science and Analytics Masters Project (60 Credits)
This module is designed to enable students to select and apply data science and analytics techniques to practically investigate a particular problem. Furthermore, they will critically evaluate their own work. This module also aims to enable students to demonstrate that they can work independently with minimum supervision, efficiently plan their work, and present the results in both written and oral form. Students will also extend their knowledge by making effective use of the technical and scientific literature, and other relevant materials.
The entry requirements for the programme are:
- A Bachelor’s degree in Computer Science or cognate discipline at a level equivalent to a UK second class Honours degree.
- For International applicants whose first language is not English, IELTS score of 6.0 (with no less than 5.5 in any band), or equivalent.
The supporting documents for the programme are:
- Bachelor’s degree (where applicable) at a level equivalent to a UK second class Honours degree.
- A reference letter from a current or previous manager or HR department or person in a position of authority is required as supporting evidence
- Personal identification documents e.g passport or I.D
- A personal statement (approx. 3-500 words) and/or video presentation about why you want to study this programme.
- Proof of English Language Proficiency (POE) where applicable.
Start your application journey
Advance your career with UH Online's postgraduate degrees. Apply today and gain the knowledge and skills for professional success, from the convenience of your home.
Delivered by Expert Faculty
Personal and Network development
Inter Disciplinary Module Approach
Tangible Skills
Industry Informed Content
Delivered by Expert Faculty
Personal and Network development
Inter Disciplinary Module Approach
Industry Informed Content
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Prepare Supporting Documents:
• I.D.
• Certificate for your degree or highest qualification
• Transcripts
• Language assessment
• Personal statement
• Your CV or LinkedIn Profile
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