Start your journey to a data-driven career
In today's digital world, data scientists have the ability to improve healthcare, contribute to smart city development, ensure financial well-being, promote sustainable living, and optimise education. Through their work, data scientists have the potential to improve the lives of the public and contribute to a better society. Businesses and organisations are also continuously seeking professionals who can turn data into innovative strategies for progress.
By studying data science, you'll gain the relevant skills and knowledge to unlock the power of data and significantly impact industries such as finance, healthcare, marketing, and more. What's more, you'll be stepping into a world that is becoming increasingly dependent on data and needs experts in this area more than ever.
In this guide, we'll walk you through everything you need to know about pursuing a degree in data, including the best degree options, eligibility requirements, career paths, and salary expectations.
What is data science?
Data science is an interdisciplinary field that combines statistics, mathematics, machine learning and computer science. It's an exciting area that requires expertise in extracting, analysing, and interpreting big data to uncover patterns and make data-driven insights.
Data scientists use various techniques and tools, such as machine learning, data visualisation, and predictive modelling, to draw conclusions from complex data sets. Depending on their area of interest, the insights they uncover can solve societal problems or contribute to the strategic implementation of business goals.
Which degree is best for data science?
Many options are available to develop data expertise to a degree level, including degrees in data science, computer science, or even artificial intelligence. Each of these areas of study provides a strong foundation in data principles and techniques, but the specific curriculum may vary. So it's essential to research and choose a degree program that aligns with your interests, career goals, and learning preferences.
If you choose to study a pure data science course, you can choose between an undergraduate or postgraduate course, depending on your previous qualifications and experience.
Bachelor's
An undergraduate course provides a broad foundation in data science principles and techniques. A bachelor's degree is often designed for students who are new to the field and who want to develop core knowledge of data science concepts, machine learning, neural networks and statistical modelling.
BSc Data Science: full detailsMaster's
A postgraduate course is suitable for students who already have a background in data science and want to enhance their skills. Master's degrees often focus on advanced analysis tools, complex data structures, and practical application of data storing and data mining methods.
MSc Data Science: full detailsData science course subjects
A data science course should provide a well-rounded education in the field's technical and theoretical aspects. By studying the subjects below, you'll develop a diverse skillset that combines technical expertise, statistical knowledge, and ethical considerations. These subjects will equip you to excel and take on challenging roles in data-driven industries.
Key employability skills you'll develop
In addition to technical expertise, a degree will equip you with a range of essential employability skills highly valued by employers across industries. Whether you choose to work in a data-focused role or pursue a leadership position, the combination of technical expertise and employability skills acquired through your data degree will set you on a path to success in the modern world of work.
Here are some of the essential employability skills you can expect to develop in your degree:
Data science jobs and career paths
A degree in data science opens up a world of exciting career opportunities. Each role below requires a unique combination of technical skills, analytical thinking, and the ability to communicate complex concepts to stakeholders. Whether you aspire to work jobs in finance, healthcare, technology, or any other industry, your degree will position you for success.
Data scientist
As a data scientist, you'll be at the forefront of unlocking the hidden insights within vast datasets. You'll use advanced statistical techniques, machine learning algorithms, and programming skills to analyse and interpret big data, extract meaningful patterns and trends, and develop predictive models.
Your findings will empower businesses to make data-driven decisions and solve complex problems. With a focus on data exploration and innovation, this data science role requires a strong blend of technical expertise, problem-solving abilities, and a deep understanding of the business domain.
Data analyst
Data analysts collect, clean, and organise data to derive valuable insights and support decision-making. You'll use statistical analysis techniques to identify trends, patterns, and correlations in data, transforming raw information into actionable intelligence.
Collaborating closely with stakeholders, you'll communicate your findings through visualizations and reports, enabling organizations to make data-informed decisions. A data analyst requires strong analytical and problem-solving skills, attention to detail, and proficiency in data manipulation tools.
Data engineer
A data engineer constructs and manages the underlying systems responsible for gathering, organising, and refining unprocessed data into usable formats. You'll design and implement scalable data pipelines, ensuring data quality and reliability.
Collaborating with data scientists and analysts, you'll provide them with the necessary infrastructure and tools to extract insights from data, sometimes using software development skills to produce the best solution. This role requires skills in data modelling, database management, and programming, as well as an understanding of data storage technologies and security.
Predictive modeller
As a predictive modeller, your focus is on developing mathematical models and algorithms to predict future outcomes based on historical data. You'll apply statistical methods and machine learning techniques to build models that can forecast trends, identify patterns, and make accurate predictions. These models are used in various industries, including finance, healthcare, and marketing, to optimize decision-making processes and drive business growth.
A predictive modeller needs a strong background in mathematics, statistics, and software development, combined with strong analytical and problem-solving skills.
Data consultant
As a data consultant, you'll work with businesses to evaluate their existing data systems, identify areas for improvement, and provide expert advice on data strategies and solutions. You'll develop data-driven strategies to address business challenges, design data architecture, and implement data management processes.
You'll meet with stakeholders to develop data-driven solutions tailored to their specific needs. A data consultant needs a deep understanding of data analysis techniques, strong presentation skills, and the ability to communicate complex concepts into actionable client recommendations.
Data scientist salary expectations
Jobs in data are known for offering competitive salaries. According to Glassdoor, data science graduates in the UK earn an average salary* of £34,796, or £37,983 if you work in London.
As you gain more experience and move into specialist roles, this is likely to increase: uk.indeed.com records the average annual salary for a data scientist role in the UK as £50,446, while the average salary for a data scientist in London is £60,254.
Your salary expectations also depend on the type of role you specialise in. According to uk.indeed.com, the average UK salary for a business intelligence analyst is £42,251 while predictive modelers earn an average salary of £62,086.
*All salary information correct as of January 2024.
Is a data science degree worth it?
Data skills are highly valuable and in demand. Not only does a degree in data provide you with the necessary specialised skills, but it also equips you with critical thinking, problem-solving, and communication abilities to help you drive business success and solve complex societal challenges.
Is data science in demand in UK?
A recent report (Data Science Skills in the UK Workforce, 2023) released by the UK Government noted that there were 178,000 unfilled data specialist roles in the UK in 2021. In their latest People and Skills Report (2022), TechNation reported that vacancies for data scientists grew from 1,801 in 2019 to 5,573 vacancies in 2022.
Companies across industries are actively seeking data scientists to help them harness the power of data and gain a competitive edge. This demand is expected to grow as organisations recognise the value and potential of data-driven decision-making. The UK government even has its own specialised unit known as the 10 Downing Street Data Science Unit (10DS for short).
Typical entry requirements
The eligibility requirements for a degree in data science can vary depending on the degree provider and degree level. At LIBF, we've designed our entry requirements to accommodate students from various academic backgrounds.
To pursue a bachelor's degree, you'll need A Levels in a relevant area or equivalent qualification.
For master's degree programs, a bachelor's degree in a related field is typically required.
How to prepare for your degree
Data science is a rapidly evolving field, so it's crucial to stay curious and keep learning by subscribing to industry blogs, newsletters, and online communities and forums. Take the opportunity to explore new techniques and technologies, cultivating a curious mindset that will enhance your learning experience.
Strengthen your mathematical foundation
Take the time to refresh your knowledge of key concepts such as algebra, probability and hypothesis testing, as well as key statistical methods. Strengthening your mathematical foundation will make it easier to delve into more advanced topics during your degree.
Develop programming skills
Proficiency in programming languages is an essential core of a degree in data science. If you haven't already, start learning and practising coding through online tutorials. Familiarise yourself with basic programming concepts like variables, loops, and functions.
Get hands-on experience with data
One of the best ways to prepare is to gain hands-on experience with real-world data. Look for data sets online or participate in online competitions and challenges. Practice cleaning, exploring, and analysing data. By working with real data, you'll develop a practical understanding of data manipulation and analysis, setting you up for success in your degree.
Stay curious and keep learning
Data science is a rapidly evolving field, so it's crucial to stay curious and keep learning. Follow industry blogs, subscribe to newsletters, and join online communities and forums. Engage in discussions, stay updated on the latest trends, and explore new techniques and technologies. Cultivating a curious mindset will enhance your learning experience.
Why study with LIBF
At LIBF, we offer degree courses designed to meet the demands of the modern workforce. Our undergraduate and postgraduate degrees provide a comprehensive curriculum with a focus on the development of practical, technical skills through individual and group projects.
Our virtual learning platform allows you to fit learning around your busy schedule, while our dedicated faculty and industry experts ensure you receive a high-quality education.
So, if you're ready to embark on an exciting and rewarding career, choose LIBF as your partner in progress. With flexible learning options, comprehensive curriculums, and our commitment to your success, we're confident we can put you on the path to a successful, data-driven future.
Find out more about our courses:
BSc (Hons) Data Science onlineMSc Data Science online
LIBF has been great. Tutor support is amazing and don’t even get me started on the study materials. 11/10, couldn’t have asked for a better experience. You can tell the tutors and student support, etc, really want you to succeed. Really couldn’t have wished for a better experience, I’ve had my expectations blown out of the water. LIBF is the way to go!
Rachel Davey
BSc (Hons) Computer Science
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