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Course overview
Advance your knowledge of data science and unlock new career progression opportunities with our MSc Data Science programme. This postgraduate degree course delves into the advanced concepts and theoretical frameworks needed to establish a rewarding career in data science-related fields, with the potential to make a real impact on the global digital economy.
Delivered using innovative e-learning technology, this flexible online master’s programme can be studied at a pace that suits you, allowing you to fit coursework around your existing life and work commitments.
This program is subject to validation*
Job outcomes
- Data scientist
- Business intelligence analyst
- Machine learning engineer
What you'll learn
MSc Data Science is a postgraduate online degree program that focuses on the study of data science, which involves extracting insights and knowledge from large and complex data sets. It is an interdisciplinary field that combines elements of computer science, mathematics, and statistics to analyse and interpret data. Our program covers topics such as programming with Python, machine learning, statistical analysis, deep learning, and mathematics. Upon completion of an MSc in Data Science, you will possess the skills and knowledge to work in a variety of roles such as data scientist, data analyst, business intelligence analyst, and more, in lots of different sectors.
Study method
- Online
- Blended
- In-class
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Duration study load
- 12 months (full-time), 18 months (part-time option 1) and 24 months (part-time option 2)
Entry requirements
- 2:2 honours degree and above or equivalent – from a recognised institution.
- English language: IELTS Level 6.5 or above with no element below 6 (or equivalent).
Course features
- Flexible online learning: Fit learning around your life but study in a structured way, using a flexible online approach with full support from your lecturers and tutors. Learn part-time or full-time – at your own pace, fully online, anywhere.
- Over 140 years of expertise: Upgrade your expertise with the skills of the future. To help you succeed and progress your career, we’re combining our long history of education in finance, business, and technology with an up-to-the-minute online learning platform.
- Innovative personalised learning: Learn on your own terms. Gain the skills you need to reach your full potential and achieve your ambitions. You’ll have support, as well as access to advanced digital learning tools and practical real-life expertise.
- Rewarding your ambition: Distance learning is an affordable, tailored option that fits your lifestyle. Fees for our online degree are spread over the length of your chosen programme, making it easier for you to manage your finances.
Testimonials
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Tazneem K"I started studying with LIBF a couple of months ago and it has been a pleasant surprise of how flexible and stress free the course is! Being a busy person with many commitments the course has fitted into my lifestyle amazingly. The platform is straightforward and easy to navigate with several learning materials. Also, the support received from LIBF is fantastic and would recommend to everyone. Thank you LIBF!"
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Phanas N"As a parent juggling a multitude of responsibilities, finding time for my own personal development was challenging. LIBF's online degrees were exactly what I was looking for, giving me the flexibility to learn in the evenings at a time that works for me. It's also teaching me how to manage distractions! LIBF has a great reputation too, which is what made it my first choice."
Who's it for?
Pursuing an MSc in Data Science is a good idea for anyone looking to pursue a career in this field. With the increasing importance of data-driven decision-making, companies are actively seeking professionals with advanced data science skills. By completing an MSc in Data Science, you can gain expertise in areas such as statistical analysis, programming, and machine learning, making you a highly desirable candidate for a variety of roles in lots of different sectors.
Subjects
- Programming with Python
One of the most versatile scripting languages, Python is widely used in web development to scientific computing. Develop your knowledge of Python, including uncovering its key features and applications. - Advanced Mathematics
Did you know that modern techniques used to analyse data and make predictions for the future are rooted in advanced mathematics? You’ll explore concepts behind advanced algorithms used to process data. As well as growing your knowledge of vector algebra, vector calculus and information theory. - Advanced Statistics
Nearly all processes in nature, including most technical and scientific scenarios, are not deterministic but stochastic. This means the processes are described in terms of probabilities. Learning the concepts of statistics, you’ll be able to apply your new knowledge to various application situations. - Machine learning
Machine learning is a scientific field that teaches machines to perform tasks by finding patterns in data. Explore how you can combine statistics and computing power, as well as a variety of approaches and methods, to achieve this. - Deep learning
Neural networks and deep learning approaches have revolutionised the field of artificial intelligence in recent years. Applications built on these techniques have even surpassed human performance. Discover common neural network architectures and methods to train AI in a range of application scenarios. - Use case and evaluation
What makes a project successful? Evaluating and defining use cases is essential in defining a project, from its scope and technical requirements to its ultimate value. Learn the factors involved, including the monitoring tools needed to evaluate the status quo, and the problems you might encounter along the way. - Case study: Model engineering
Discover the main data science methodologies. Learn how to detect data quality issues. Build new features from raw data. And understand the processes and techniques for creating data science models to solve real-world problems. - Elective (see Electives section below)
- Master thesis
With the guidance of a supervisor, prepare a written dissertation focused on a major field of study. Scientifically evaluate and critically discuss a chosen issue and suggest possible solutions.
- Big data technologies
Database types from relational to NewSQL. Storage formats from CSV to Parquet. Computing environments from local clusters to containers. Gain the technical knowledge you need to harness the power of data. - Software engineering for data-intensive sciences
Learn how to write high-quality code that runs in a professional production environment. You’ll cover the agile approaches of Scrum and Kanban, specialist techniques like integration testing and pair programming, and concepts of API design. - Industrial automation
With Industry 4.0, companies need to model, analyse, design and control their production environments. Explore the modelling approaches for the event systems that make up modern manufacturing. - Architectures of self-driving vehicles
Delve into the architectural aspects of self-driving cars: from hardware and software platforms to sensor and motion control solutions for braking and steering. You’ll also discuss the ways a self-driving car exchanges information with the outside world, including ethical and safety considerations. - Internship (*)
This is your opportunity to put knowledge into action as you learn to work within an organisation. Apply your intellectual and social skills, in return gaining an insight into organisational structures and improving your future employability.
* Check eligibility before booking the module.
Once enrolled, you will be expected to meet LIBF’s policies and standards.
About LIBF
We are LIBF – a professional body that has been providing industry-leading education for more than 140 years.
Throughout our history, we’ve been helping people build successful careers in business, finance and technology – working to make the industry accessible to all.
Our focus is on life-long learning. We equip our students with real-world skills and globally recognised qualifications that allow them to achieve their career ambitions. This emphasis on practical skills means our students can quickly apply the knowledge gained in our courses in their working lives.
Our engaging webinars offer a unique opportunity to delve into the distinct benefits of online learning with us, crafted to ignite your ambitions.
Why join a webinar?
- Obtain a thorough understanding of our online learning methodology directly from our Study Advisors.
- Receive a step-by-step guide on the application process, funding options, entry requirements, and more.
- Get instant answers and personalized advice from our Study Advisors to navigate your online learning pathway.
Register for a webinar that fits your schedule. Let’s begin this educational journey together, unlocking your potential and beyond. All webinars are conducted on Zoom and commence at 6.00 pm UK time.
The LIBF faculty itself is comprised of business, banking, finance and technology experts with extensive experience in the industry. We embrace innovation in education and our courses are flexible and delivered through a variety of media, to provide a rich learning experience.
