Data Science (Placement Year) BSc Hons 48 months Undergraduate Program By Lancaster University |Top Universities
Subject Ranking

# 51-70QS Subject Rankings

Program Duration

48 monthsProgram duration

Tuitionfee

29,820 GBPTuition Fee/year

Scholarship

YesScholarships

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

Data science plays a vital role in all aspects of the modern world. Our programme will ensure you have a strong foundation in this rapidly expanding, highly in-demand field to achieve your career aspirations.

Our programme delivers a broad yet rigorous grounding in computer science and statistics, adopting both theoretical and practical learning approaches. You will gain cutting-edge knowledge and skills through state-of-the-art equipment and excellent teaching offered by both the School of Computing and Communications and the School of Mathematical Sciences.

This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are experts in their field. Throughout the three years, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career.

During your first year, you will gain a comprehensive understanding of the fundamental principles of computer science, and will simultaneously develop your knowledge and understanding of mathematical methods and concepts. Bringing these two fields together into data science fundamentals, you will also enhance your data analysis, problem-solving and quantitative reasoning skills.

In the second year, you will further deepen your knowledge in linear algebra, probability and statistics, as well as your foundational understanding, programming, and software design skills. While studying these topics, you will complete our Project Skills module, which will provide you with the chance to enhance your research and employment skills through individual and group projects designed for data scientists. This will give you experience of approaching a data science problem in the real-world.

In third year, you will undertake a 12 month placement which will allow you to apply the knowledge and skills that you’ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. As well as your paid employment, you will submit monthly learning logs reflecting on your experience.

Your final year will give you the opportunity to specialise in a range of enriching research-informed optional modules, as well as undertaking a substantial data science individual project. In this project you will work closely with one of our academics, expand your problem-solving abilities, and draw upon the skills and knowledge that you have gained throughout your degree. This will be great experience for you to draw upon in an interview and in your career.

The University will use all reasonable effort to support you to find a suitable placement for your studies. While a placement role may not be available in a field or organisation that is directly related to your academic studies or career aspirations, all placement roles offer valuable experience of working at a graduate level and gaining a range of professional skills.

If you are unsuccessful in securing a suitable placement for your third year, you will be able to transfer to the equivalent non-placement degree scheme and would continue with your studies at Lancaster, finishing your degree after your third year. The University offers a range of shorter placement and internship opportunities for which you would be welcome to apply.

We are working to satisfy the emerging requirements for Data Science accreditation as defined by the appropriate professional bodies (such as the British Computer Society, Royal Statistical Society).

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

Data science plays a vital role in all aspects of the modern world. Our programme will ensure you have a strong foundation in this rapidly expanding, highly in-demand field to achieve your career aspirations.

Our programme delivers a broad yet rigorous grounding in computer science and statistics, adopting both theoretical and practical learning approaches. You will gain cutting-edge knowledge and skills through state-of-the-art equipment and excellent teaching offered by both the School of Computing and Communications and the School of Mathematical Sciences.

This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are experts in their field. Throughout the three years, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career.

During your first year, you will gain a comprehensive understanding of the fundamental principles of computer science, and will simultaneously develop your knowledge and understanding of mathematical methods and concepts. Bringing these two fields together into data science fundamentals, you will also enhance your data analysis, problem-solving and quantitative reasoning skills.

In the second year, you will further deepen your knowledge in linear algebra, probability and statistics, as well as your foundational understanding, programming, and software design skills. While studying these topics, you will complete our Project Skills module, which will provide you with the chance to enhance your research and employment skills through individual and group projects designed for data scientists. This will give you experience of approaching a data science problem in the real-world.

In third year, you will undertake a 12 month placement which will allow you to apply the knowledge and skills that you’ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. As well as your paid employment, you will submit monthly learning logs reflecting on your experience.

Your final year will give you the opportunity to specialise in a range of enriching research-informed optional modules, as well as undertaking a substantial data science individual project. In this project you will work closely with one of our academics, expand your problem-solving abilities, and draw upon the skills and knowledge that you have gained throughout your degree. This will be great experience for you to draw upon in an interview and in your career.

The University will use all reasonable effort to support you to find a suitable placement for your studies. While a placement role may not be available in a field or organisation that is directly related to your academic studies or career aspirations, all placement roles offer valuable experience of working at a graduate level and gaining a range of professional skills.

If you are unsuccessful in securing a suitable placement for your third year, you will be able to transfer to the equivalent non-placement degree scheme and would continue with your studies at Lancaster, finishing your degree after your third year. The University offers a range of shorter placement and internship opportunities for which you would be welcome to apply.

We are working to satisfy the emerging requirements for Data Science accreditation as defined by the appropriate professional bodies (such as the British Computer Society, Royal Statistical Society).

Admission requirements

36+
6+
176+
58+
87+
4 Years
Oct

Tuition fee and scholarships

Domestic Students

9,250 GBP
-

International Students

29,820 GBP
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

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A list of available scholarships around the world

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A scholarship application checklist

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