Data Analyst
Data Analysts turn raw organisational information into clear, actionable stories. They collect, clean, and explore...
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MSc Data Science and Analytics
Decode complexity. Drive decisions that matter at scale.
Data is the new fuel for the world’s most innovative organisations, and the ability to harness its power has never been more critical. Whether you’re entering analytics or advancing your technical career, this programme will empower you to solve consequential problems, influence strategic decisions and unlock exciting career opportunities at the forefront of innovation.
Programme 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.
What you'll study
This programme includes core and optional modules. To earn a master’s degree, you must complete 180 credits. Modules are worth 15 or 30 credits. Full-time students complete 60 credits per semester and finish in one year. Part-time students complete 30 credits per semester and finish in two years.
See the programme specification for full details.
Unlock the potential of sophisticated data architectures and gain a deep understanding of how to design, implement, and manage cutting-edge database solutions. Equip yourself with the skills needed to navigate both traditional and modern database environments, ensuring you remain at the forefront of the data revolution.
Topic include: Data Modelling, Relational Databases, NoSQL Databases, NewSQL Solutions, Cloud Databases, Transaction Management, Database Scalability, Database Security and Emerging Technologies.
Evaluate where AI can create business value, where it falls short and what successful adoption requires. Explore implementation challenges, human–AI collaboration, risk and ethics so you can make better decisions about how your organisation uses AI.
Topic include: Business AI Fundamentals, AI Limitations and Boundaries, AI in Strategic Decision-Making, AI Deployment Challenges, AI and Human Collaboration, Organisational Transformation, Risk Management in AI, Ethical AI and Social Responsibility and Future AI Trends.
Develop practical programming skills in R and Python to prepare, analyse and visualise data. Work with data structures, libraries and common analysis techniques so you can turn raw datasets into evidence for decisions.
Topic include: Programming Fundamentals, Error Handling, Data Structures Mastery, Data Input and Output, Advanced Data Manipulation, Data Visualisation Techniques, Statistical Computing, Applied Data Analysis and Real-World Problem Solving.
Complex data doesn't have to be confusing. This module teaches you how to transform intricate information into clear, impactful visuals that communicate effectively. You will gain practical skills in data preparation, explore a range of visualisation techniques, and learn design principles that enhance visual communication. By understanding your audience, you will craft narratives that resonate and drive decision-making across diverse contexts.
Topic include: Data Preparation and Cleaning, Fundamental Visualisation Techniques, Advanced Visualisation Techniques, Visual Design Principles, Understanding the Audience, Visual Analytics Tools, Querying and Integrating Data, Data Storytelling and Critical Evaluation Skills.
Unlock the potential of advanced data techniques to drive strategic business decisions. This module provides an in-depth exploration of cutting-edge tools and methodologies that are shaping modern enterprises. Gain the skills required to extract, process, and analyse data, transforming it into actionable insights that fuel innovation and performance.
Topic include: Mastering ETL Processes, Designing Data Warehouses, Leveraging Cloud Analytics, Implementing Real-Time Processing, Analysing Data Patterns, Predictive and Prescriptive Analytics, Exploring Advanced Analytics, Utilising Text Analytics and Creating BI Dashboards.
Bring your learning together in an independent project, supported by one-to-one supervision and structured seminars. Investigate a problem, develop and evaluate a practical response, and communicate your findings. Depending on your approved proposal, your output could include a framework, implementation plan, analytical tool or prototype.
Entry requirements
To apply, you must meet all of the following:
Qualifications or experiences
To qualify, you should have a degree in STEM (science, technology, engineering or math).
Alternatively, applicants without a degree can qualify if they have at least 4 years' commercial experience in a technical or analytical role involving intellectually demanding work.
Alternatively, applicants without a degree can qualify if they have at least 4 years' commercial experience in a technical or analytical role involving intellectually demanding work.
English language
To succeed on this programme, strong academic English is essential.
If you are from a majority English-speaking country or have previously studied in English (university or school), no proof is needed.
Otherwise, you should provide a valid certificate, such as Duolingo, EnglishScore, IELTS, TOEFL, or equivalent, with an overall IELTS Academic equivalent of 6 and no component below 5.5. If you don't already have one, you can take an English test on your mobile phone.
If you are from a majority English-speaking country or have previously studied in English (university or school), no proof is needed.
Otherwise, you should provide a valid certificate, such as Duolingo, EnglishScore, IELTS, TOEFL, or equivalent, with an overall IELTS Academic equivalent of 6 and no component below 5.5. If you don't already have one, you can take an English test on your mobile phone.
Skills and outcomes
Professional development
Pursuing this programme is not just about advancing your career. It’s about evolving your mindset.
You will learn to approach problems creatively, leveraging data to find solutions that others might miss. As you move through the course, you will gain confidence in navigating complex datasets and making informed decisions under pressure. Beyond technical skills, this journey will hone your adaptability and resilience, key traits in an ever-changing digital landscape.
You will become a more agile thinker, comfortable with ambiguity and capable of learning from both successes and setbacks. Ultimately, this course is designed to help you grow not just as a professional, but as a leader in an increasingly data-driven world.
Real-world application
Data science is about more than numbers. It is about solving real problems.
Throughout this course, you will work on live industry projects that mirror the challenges professionals face today. You will learn how to identify trends, make predictions, and drive innovation using data. From optimising supply chains to predicting consumer behaviour, your experience will be grounded in practical, real-world applications.
Case studies drawn from a range of industries, including healthcare, finance, and tech, will help you understand how data is shaping the world. You will emerge with a portfolio of projects that showcase your ability to make impactful data-driven decisions, proving your readiness for real-world challenges.
Why study at LSI?
Because you want to become an AI-native leader.
Specialist in
tech & innovation
LSI’s focus on digital technology, innovation and entrepreneurship connects what you study with the challenges of leading change.
Explore technology alongside the commercial and organisational decisions that determine its value.
AI-enhanced
learning
LSI’s award-winning AI platform acts as a 24/7 learning companion, helping you work through material, test your understanding, receive formative feedback, and identify gaps earlier.
The system provides multimedia explanations, interactive tasks, formative checks, and feedback on your work, while academic staff remain responsible for judgement, standards, and support.
Regular
one-to-one support
Use regular one-to-one academic conversations to question ideas, discuss difficult material and get guidance on your progress.
Alongside subject support, your personal academic tutor helps you navigate the demands of postgraduate study.
A network of
ambitious peers
You'll study alongside ambitious, curious people. Those relationships rarely end at graduation.
Your peers and the wider LSI alumni network become collaborators, sounding boards, and the contacts who open doors long after you've finished.
What our students say
Hear directly from students with first-hand LSI experience.
My attention stayed with the material, and moving around the platform was uncomplicated. These aspects of studying with LSI have left me keen to keep learning and extend my understanding as I develop.
The quizzes feel relevant to what I already do at work, and I value the practical examples. With a straightforward platform, I’m looking forward to building on that connection as I develop through LSI.
Having AI assistance alongside clearly organised material is something I value about studying with LSI. The clear examples also stand out, and I am keen to build on this experience as I develop my understanding.
The variety of use cases keeps me interested in the material and gives my studies real appeal. With the platform working well, I feel encouraged to broaden my understanding through continued learning with LSI.
The elaborate function is a feature I particularly like. Alongside clear material and a platform that is easy to use, it leaves me optimistic about developing my understanding further through my studies with LSI.
The Q&A section stands out for me, alongside excellent examples and high-quality, well-structured material that offers a worthwhile challenge. With straightforward navigation, I feel encouraged to build on this introduct...ion and develop further through studying with LSI.Show more
Real-life examples and good questions are the aspects I most appreciate in my studies with LSI. The platform is easy to use, and I look ahead to further developing my understanding through this learning experience.
Getting around LSI’s platform has been straightforward for me so far. I value the clarity and organisation of the learning material, and hope to build my understanding further as my studies progress.
Clarity matters to me, and LSI’s material holds my attention while the platform is simple to use. I see these as positive foundations for deepening my understanding and taking my development forward.
What stands out to me is how logically the information unfolds. The clear, comprehensive material and positive online experience make studying with LSI worthwhile, and I look forward to deepening my understanding through...this well-organised approach.Show more
Career prospects
The need for data-literate professionals spans every industry, and this programme is a launchpad into a wide array of exciting career opportunities.
Graduates will be prepared for roles such as data analysts, machine learning engineers, business intelligence specialists, and data consultants. Organisations from start-ups to global enterprises are constantly looking for individuals who can harness data to drive growth and innovation.
You will also be well-positioned to take leadership roles in data-driven projects, steering teams and influencing decision-making with your newly acquired expertise. With the rapid pace of technological change, your skills will not only be relevant today, but crucial for the evolving job market of tomorrow.
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Learn moreLearn smarter with AI
Work through course material with AI-supported explanations and practice, then deepen your understanding through discussion and guidance from academic staff.
Virtual
private tutor
This isn’t a chatbot. It’s a tutor that guides you through hands-on learning, at your pace. Read, watch or listen anytime, on your phone during a commute or workout, or on your laptop at 2am before a deadline.
Through text, audio, visual feedback, formative questions, and assignment critique, the tutor helps you keep moving between scheduled sessions with academic staff.
Master
the theory with AI
Every lesson adjusts to your pace and what you already know, so you're never stuck on the obvious or lost in the difficult.
Most subjects don't run in a straight line. Our Interactive Knowledge Graph maps how concepts connect and build on each other, then tracks what you've mastered and what still needs work, so nothing important slips through the cracks.
Instant feedback
for assignments
Get useful feedback the moment you submit, instead of waiting days to find out where you went wrong, then act on it while the work is still fresh in your mind.
This doesn't replace your tutors or academic judgement. Detailed feedback from faculty can be requested right after AI feedback. What it adds is momentum: you keep moving forward instead of stalling between submission and review.
Role-play
with AI
Rehearse the high-stakes moments before they're real. In AI-driven role-play, you make decisions in lifelike professional scenarios and see how they play out, so you build confidence where it's safe to get things wrong.
Judgement comes from practice, not theory alone. You might lead a tense project review, work through an ethical AI dilemma, negotiate a technical trade-off, or troubleshoot a system failure against the clock, each scenario repeatable and tied to what you're learning.
FAQs
We recommend that all prospective students apply as soon as possible to secure their place in their desired programme. Each programme's prospectus and promotional materials outline specific start dates that align with our effective registration periods. By applying early, you ensure that you have ample time to meet any conditions of your offer.
Once we receive your completed application, including references and supporting documents, we aim to complete the decision-making process within 8-weeks. However, this timeframe may vary during peak periods or if an interview is part of the selection process.
If you have applied for a specific funded opportunity, please note that decisions may take longer than usual. We encourage you to reach out to our Student Success Team at support@lsi.ac.uk if you have not received an update after 8-weeks or if you have any other questions regarding your application. Your journey to joining our School is important to us, and we appreciate your patience as we review your application.
While we understand that circumstances can sometimes prevent timely submissions, extensions for application deadlines are not guaranteed. Requests for extensions will be considered on a case-by-case basis, depending on the specific situation and the reasons provided.
To initiate this process, please contact our Student Success Team at support@lsi.ac.uk as soon as possible with a detailed explanation of your circumstances. We encourage prospective students to stay informed about application deadlines and to submit their applications promptly to ensure the best chance of a successful enrolment.
You can still submit your application even if you have not yet received all of your documents, such as your final transcript or Certificate of English Proficiency. In such cases, you will receive a conditional offer outlining the specific qualifications and grades you need to achieve in order to meet our entry requirements.
Once you have obtained the necessary evidence, you can easily upload it through the Admission Portal. Upon satisfying all the conditions stated in your conditional offer, you will then receive an unconditional offer, allowing you to proceed with your studies at our School.
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Next start date : 7 Dec 2026
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