Overview
The demand for professionals who can interpret and use data effectively is skyrocketing, and this programme equips you with the practical skills to meet that demand.
You will gain expertise in a variety of programming languages and tools like Python, SQL, and R, alongside experience with key machine learning algorithms and statistical methods. More than just technical proficiency, you will develop critical thinking and problem-solving skills that will help you frame data-driven solutions to complex business challenges.
We will also sharpen your ability to communicate insights, an essential skill in ensuring that the value of your work resonates with stakeholders. By the end, you will be capable of independently conducting data projects, from exploratory analysis to actionable insights.
Programme Structure
This programme consists of the following core and optional modules. Full-time students usually take 60 credits per semester, while part-time students often take one or two modules per term. See the programme specification for full details.
YEAR 1 - SEMESTER 1
Modern Database Systems (DS71) - 30 credits
AI in Business: Strategies and Implementation (MA71) - 15 credits
Data Programming (DP71) - 15 credits
YEAR 1 - SEMESTER 2
Visual Analytics and Data Storytelling (DV71) - 30 credits
Advanced Business Intelligence and Analytics (BI71) - 30 credits
YEAR 1 - SEMESTER 3
Master's Final Project (FP10) - 60 credits
Audience
Data Science Professionals
Aspiring Data Scientists
Business Analysts
IT Professionals
Engineers Transitioning to Data
Data Analysts
Data Engineers
Career Switchers to Data Science
Senior Data Analysts
Data-Driven Managers
AI Enthusiasts
Digital Transformation Leaders
Business Intelligence Professionals
Software Engineers
Data Science Consultants
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
- 17 hrs/week
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Main intakes:
- February
- June
- October
We also offer monthly intakes, providing additional flexibility for students who wish to begin their studies sooner.
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
180 CATSs
Delivered
- Self-paced
- Proactive tutoring and support
- Individual work/assignments (with online group discussions)
Campus Location
- London Borough of Sutton, United Kingdom
Disciplines
Data Analytics View 46 other Masters in Data Analytics in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
The information below reflects the current course structure and module details. Updates may be made annually, and revised details will be published in the Programme Specifications ahead of each academic year. The regulations governing this course are available on our website.
Work experience
Applicants without a degree can qualify if they have at least 4 years' commercial experience in a technical or analytical position involving intellectually challenging day-to-day tasks.
Technological requirements
Applicants must have a degree in STEM (science, technology, engineering or math).
Tuition Fees
-
International Applies to you
Applies to youNon-residents11900 GBP / year≈ 11900 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11900 GBP / year≈ 11900 GBP / year
Additional Details
Fees can typically be paid either:
- Full upfront payment
- Through an agreed monthly instalment plan
- Semesterly based on modules
Funding
LSI offers a range of scholarships to help make postgraduate study more accessible. These include the Aspire Scholarship (£3,000) for eligible students from lower-income households, the Geekess Scholarship (£4,000) for high-achieving female students pursuing leadership in technology, and the Catalyst Scholarship (£6,000) for exceptional applicants with a strong academic or professional background who aim to create positive social impact through technology.
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for MSc Data Science and Analytics (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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