100% Online Study
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.
This programme is designed to provide you with a strong foundation in data science, allowing you to turn raw data into valuable insights. Whether you're completely new to the field or looking to build on existing knowledge, this course is your gateway to mastering the essential skills of data analysis, machine learning, and statistical techniques.
You will learn how to manipulate, analyse, and interpret data, using cutting-edge tools and techniques that are highly sought after across industries. From healthcare to finance, companies are leveraging data to drive decision-making, and this course will empower you to become part of that transformation.
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.
Flexible Online Study
Programme modules
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 covered include Data Modelling, Relational Databases, NoSQL Databases, NewSQL Solutions, Cloud Databases, Transaction Management, Database Scalability, Database Security and Emerging Technologies.
Full module specification
Discover how artificial intelligence is transforming business, and how to apply it with strategic clarity. This module reveals where AI creates real advantage, where it falls short, and how to navigate its implementation challenges. Gain the insight to move beyond the hype and lead confidently in an AI-driven world.
Topic covered 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.
Full module specification
Unlock the power of data with cutting-edge skills in R and Python. Learn to manipulate, analyse, and visualise datasets with precision and efficiency. This module provides hands-on experience with key libraries and techniques, ensuring you can transform raw data into meaningful insights.
Topic covered 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.
Full module specification
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 covered 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.
Full module specification
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 covered 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.
Full module specification
Undertake the pivotal project that crystallises your journey at the London School of Innovation. This module offers a unique opportunity to independently design and execute a project that signifies your mastery and potential influence. Engage in tailored guidance through one-to-one supervision and structured seminars, ensuring each step you take meets rigorous academic and professional standards. Embark on a path where your knowledge transforms into tangible outcomes, and explore the depths of your capability and originality.
Topic covered include .
Full module specificationEntry 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.
Qualifications or experiences
Alternatively, 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.
English language
If you are from a majority English-speaking country or have studied at an English-speaking university, no proof is needed.
Otherwise, you will need an IELTS Academic score of 6 overall (with no section below 5.5), or an equivalent test (e.g. TOEFL, Duolingo, Cambridge, PTE, Oxford ELLT, LanguageCert, Trinity ISE, etc).
Practical impact
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.
Personal growth
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.
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.
Data AnalystData Analysts turn raw organisational information into clear, actionable stories. They collect, clean, and explore datasets, build reports and... Learn more |
Machine Learning EngineerMachine Learning Engineers design, build, and maintain intelligent systems that learn from data. They translate prototypes into scalable production... Learn more |
Business Intelligence & Analytics ManagerBusiness Intelligence & Analytics Managers turn company data into strategic assets. They oversee analysts, govern data pipelines, and deliver... Learn more |
Data Product ManagerData Product Managers define and deliver products whose core value arises from data—ranging from internal decision tools to customer-facing analytics... Learn more |
Cloud Data EngineerCloud Data Engineers build and maintain the infrastructure that moves, stores, and processes massive datasets securely and efficiently. Their work... Learn more |
Data Science ConsultantData Science Consultants help client organisations unlock value from information, designing bespoke models, guiding cultural change, and training... Learn more |
Head of Data & InsightsThe Head of Data & Insights sets organisational data vision, leads multi-disciplinary teams, and embeds evidence-based culture across strategy,... Learn more |
AI Ethics & Governance LeadAI Ethics & Governance Leads ensure that advanced analytics and machine-learning systems are transparent, fair, and lawful. They develop policies,... Learn more |
Tuition fees & funding
Ready to invest in your future? The following outlines the financial commitment and demonstrates the potential return on investment in your professional growth.
Return on investment
This tool is designed to help evaluate your potential ROI. Your post-graduation income opportunities will depend on company type, size, sector, location, market conditions, your skills and ability to impress, and many other factors. Do your own research.
Upon graduation, you'd get a job with a £45K salary, keeping around and repaying about £5K towards your loan. By year three, you're earning £50K , repaying another £5K and keeping about £45K , and so on.
From the end of the repayment period, your annual salaries will be fully yours to enjoy. That exciting future is why you invest today.
Of course, you should also account for taxes depending on your country, and whether load repayments are made pre or post tax.
Average income (UK)
| Data Analyst | £28K–45K |
| Machine Learning Engineer | £40K–90K |
| Business Intelligence & Analytics Manager | £50K–90K |
| Data Product Manager | £55K–100K |
| Cloud Data Engineer | £45K–95K |
| Data Science Consultant | £45K–110K |
| Head of Data & Insights | £70K–140K |
| AI Ethics & Governance Lead | £50K–110K |
Accreditation
The London School of Innovation (LSI) is registered with the OfS, the regulator for higher education in England, and holds Degree Awarding Powers for taught degrees up to master's level. As such, our UK students may access government backed Masters Loan for up to £12,858 subject to eligibility . Official UK degrees are widely accepted internationally, while specific decisions for employment, further study, immigration or professional licensing are made by the relevant country, institution, employer or professional body.
Why study at LSI?
Traditional higher education hasn't kept pace with how fast the world is changing. LSI is different: built around technology, innovation and entrepreneurship, and designed to help you thrive in a future shaped by AI.
Specialist in
tech & innovation
As a UK higher education institution dedicated to digital tech, innovation and entrepreneurship, LSI optimises your path to mastery and confidence.
We don't try to be everything to everyone. Our curriculum, our teaching, our faculty and our culture are all built around a single aim: helping you become a capable, well-rounded leader in an AI-augmented world.
Regular
one-to-one support
Instead of one-way lectures, LSI gives students regular one-to-one academic contact, because the hardest parts of learning often need conversation, challenge, reassurance, and judgement.
Studying at postgraduate level is intellectual, but it is also personal. Motivation, confidence, uncertainty, and ambition all matter.
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.
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.
Your learning journey enhanced with AI
LSI's award-winning proprietary technology uses AI to personalise study, give faster formative feedback, and support practice, while human academics focus on discussion, judgement, mentoring, and academic standards.
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 and obtain your Confirmation of Acceptance for Studies (CAS) if required.
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 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 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.