Importance of data science: 7 best careers in the field
In a world driven by advancements in technology, the need for data science professionals has grown rapidly. According to UK Parliamentary research, the demand for skills related to data science, such as machine learning, programming and data analysis, led to job postings almost tripling between 2013 and 2018, with 48% of UK businesses looking for data science professionals.
The University of Aberdeen is a leading institution renowned for academic excellence, innovative research and strong industry partnerships. Programmes in data science and related fields at the University are designed to meet the growing demand for professionals with data science skills. Aberdeen graduates are fully equipped to thrive in industries such as energy, finance, health, government and manufacturing.
Why is data science important?
If you’ve ever found yourself asking ‘What is data science used for?’ or ‘Why is data science important?’ we have the answers for you!
The importance of data science comes from its drive for innovation across various industries and sectors. It combines statistics, programming, and machine learning to turn complex data into actionable insights, making it essential in today’s data-driven world.
Skilled data professionals are in high demand as organisations across every industry seek to make smarter decisions and gain a competitive edge. In healthcare, data science helps predict diseases and personalise treatments. The world of finance uses data science for fraud detection and risk analysis. Marketers use it for customer insights and personalised campaigns, while tech companies rely on it for innovations like AI and recommendation systems.
7 best careers in data science
Data science is one of the fastest growing and most rewarding fields in the tech world. From artificial intelligence to business strategy, data science professionals play an important role across many industries. Here are seven top careers in data science:
1. Machine Learning Engineer
A Machine Learning Engineer works in artificial intelligence, focusing on designing algorithms and building predictive models based on large datasets. In this role, you will collaborate with data engineers to build data and model pipelines, research and implement findings to build better machine learning infrastructure and use exceptional mathematics skills to build algorithms and software.
Industries such as artificial intelligence, autonomous vehicles and finance have a high demand for Machine Learning Engineers.
Machine Learning Engineers in the UK can expect to earn an average of around £60,000 per year (Indeed 2025), with experienced professionals earning significantly higher salaries.
2. Data Engineer
Data Engineers are responsible for creating and maintaining the systems that enable data collection, storage, and access. As businesses become more reliant on big data, the need for data infrastructure is critical. Data engineers are essential in sectors like e-commerce, finance and tech.
The average UK salary for a Data Engineer is approximately £56,000 per year (Indeed 2025), with strong potential for growth as companies scale their data operations.
3. Software Architect
A Software Architect designs, develops and guides software systems to ensure they are usable and reliable. The role includes designing and programming high-level concepts to improve the functionality and performance of data-related projects.
In the UK, a Software Architect can expect to earn around £72,000 per year, with this number increasing to over £80,000 with experience (Indeed 2025).
4. Data Science Consultant
Data Science Consultants work with companies to implement data-driven strategies and optimise business processes through data insights. The main responsibilities of this role include ensuring employees improve their data management knowledge and analysing data sets to extract important information and insights to help develop a business or organisation.
A Data Science Consultant working in the UK can expect to earn around £50,000 per year (Indeed 2025) and even higher salaries once they have gained more experience.
5. Data Scientist
A Data Scientist analyses complex datasets to identify patterns, build models and support decision-making. In this role, you will use artificial intelligence, machine learning and algorithms to gather data into accessible and relevant information. Data scientists are crucial in industries such as healthcare, finance, marketing and technology.
Data Scientists working in the UK can earn around £50,000 per year (Indeed 2025) with this rising to around £72,000 with seniority.
6. Data Architect
A Data Architect designs and manages data infrastructures to ensure systems are integrated and efficient. The responsibilities of this role include capturing data, establishing an organisation's data standards and performing data modelling for architecture development. The demand for Data Architects has risen as organisations look to optimise how their data is collected, stored and accessed.
Data Architects working in the UK can expect to earn around £43,000 per year (Indeed 2025).
7. Database Administrator
Database Administrators manage the performance, security and reliability of databases, often working with sensitive information. They are vital in sectors like banking, healthcare, and government, where data accuracy and integrity are crucial.
UK-based Database Architects typically earn around £43,000 per year (Indeed 2025), with the opportunity for higher earnings in specialised roles.
Study data science at the University of Aberdeen
If you want to study data science in the UK, choose the University of Aberdeen, a top 15 UK university (The Guardian University Guide 2025). The University has a rich history of research and academic excellence and is a great place to pursue your scientific passions.
The University of Aberdeen is a member of the Turing University Network; a network of UK universities engaged in cutting-edge teaching and research in data science and AI. The University’s Artificial Intelligence Society and Computing Society provide a forum for students to share their interests and expertise in computing through workshops, guest talks, coding challenges and social events.
Students at the University of Aberdeen can also take advantage of the Aberdeen Software Factory, a student-run software house that enables computing science students to gain experience working on larger software projects for external clients.
Begin your study journey at the University of Aberdeen International Study Centre, a welcoming community that prepares you for UK university life. Here you will find pathway programmes designed to equip you with the skills and knowledge needed to succeed at the University of Aberdeen.
If you would benefit from additional academic and English language support before beginning your degree, the Undergraduate Foundation Programme in Physical Sciences & Engineering is an excellent place to start. Preparing you for the second year of your degree, the programme offers a mix of core study and English language modules as well as subject-specific learning to help build your scientific knowledge. The successful completion of the programme, achieving the required grades, allows you to progress to the first year of your undergraduate degree at the University of Aberdeen.
If you are looking to begin your postgraduate study in the UK, choose the Pre-Masters in Science & Engineering. This 12-week pathway programme is for those who want to start postgraduate study but would benefit from boosting their English language skills and existing subject knowledge. The completion of the Pre-Masters, achieving the required grades, allows you to progress to the first year of a postgraduate degree at the University of Aberdeen.
Find out more about the entry requirements, fees and visa information for the University of Aberdeen International Study Centre.
FAQs
Why should you study data science?
Studying data science builds skills to analyse complex data, extract valuable insights, and support data-driven decisions, meeting the high demand across industries in today’s data-centric world.
Is the UK a good place to study data science?
Yes, the UK is an excellent place to study data science, with an ancient university founded in 1495, such as the University of Aberdeen, which offers cutting-edge programmes, industry partnerships, and robust research opportunities to prepare students for global careers.
Is studying data science good for my career?
Yes, data science is a highly rewarding career with strong demand across industries, offering excellent growth prospects, high salaries, and opportunities to make a significant impact using data.