Data Science BSc, 3-4 years

Start date:

2020
2021

Course information

Typical offer ABB

UK/EU fee £9,250

UCAS codes G500, G501

International fee £21,515

Institute code L34

Taught by School of Informatics

Admissions enquiries
+44 (0)116 252 5281
seadmissions@le.ac.uk

Course enquiries
+44 (0)116 252 3887/2129
informatics@le.ac.uk

School of Informatics website

Data science is for people who want to apply maths, business and software skills to solve real problems.

Course description

Course description

As the reach of technology continues to spread into new areas of life and work, the demand for technology-related skills grows. Among the new roles that have arisen is 'Data Scientist'. A Data Scientist is employed to analyse and interpret digital data, such as the interactions with a website, or purchase patterns, especially to assist business decision-making. In 2012, Harvard Business Review named data scientist the "sexiest job of the 21st century." More recently, Glassdoor named it the "best job of the year" for 2016.

Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. This is usually done within a business context to support decision making. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics and from the programming and data management side of computer science with aspects of problem solving and the ability to work within different disciplines.

Download a prospectus (PDF, 6MB)

Entry requirements

Entry requirements

  • A/AS-levels: ABB including Maths at Grade B or above. Two AS-levels considered in place of one A-level. 
  • EPQ with A-levels: BBB + EPQ at grade B. A-level subjects to include Maths at grade B.
  • Access to HE Diploma: Pass relevant diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction. Plus A-level Maths at grade B. We may consider substantial Level 3 Maths Access credits in place of A-level Maths.
  • International Baccalaureate: Pass Full Diploma with 30 points, including 5 in HL Maths.
  • BTEC Nationals: Full Diploma with DDD. BTEC must be in Science or Engineering. Plus A-level Maths at grade B.

Other national and international qualifications considered.

If you do not meet the entry requirements for this course, you can apply for:

  • International Foundation Year – Engineering and Technology run by the Global Study Centre. This course is for international students whose academic and/or English results fall just below those required for direct entry to year one of the degree.
  • Mathematics with Foundation Year BSc run by the School of Mathematics and Actuarial Science. This course is for all students whose academic and/or English results fall just below those required for direct entry to year one of the degree.

English Language Requirements

IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.

International Qualifications

Find your country in this list to check equivalent qualifications, scholarships and additional requirements.

Countries list

Fees and funding

Fees and funding

UK and EU Students

Starting in 2020

  • £9,250 in your first year. Tuition fees are subject to government regulations and may change in future years
  • Year in Industry: your fee will be 15% of the full-time tuition fee that applies in that year

Find out more about scholarships and funding.

International Students

Starting in 2020

  • £21,515 per year
  • Year in Industry: £3,227.25, which is 15% of the full-time tuition fee

Scholarship

Department of Informatics Scholarships are available to international students. The scholarship is a reduction in your tuition fee and is based solely on your academic achievements and any exam results you get before starting your degree. All international applicants will be automatically considered for these scholarships; there is no application form to fill in. However, you must have applied by 31 August in the year you plan to start at Leicester.

Find out more about scholarships and funding.

Accreditation

Accreditation

This degree is accredited by the British Computer Society (BCS).

Careers and employability

Careers and employability

Data Scientist and Machine Learning were identified in the LinkedIn 2017 Emerging Jobs Report as the fastest growing areas of the jobs market. Data Science roles are equally valuable in all areas of industry and jobs in the sector currently include:

  • Data Analyst
  • Data Scientist
  • Business Analyst
  • Data Architect

Our Career Development Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.

Related courses

Related courses

Computer Science

BSc, 3-4 years

Computer Science

MComp, 4-5 years

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Sustainable Development Goals

Sustainable Development Goals

We are committed to providing skills and knowledge to help prepare you tackle global challenges. We have mapped our undergraduate degrees for learning which aligns to the 17 UN Sustainable Development Goals.

This degree includes learning which relates to the following UN Sustainable Development Goals:

Find out more about the UN Sustainable Development Goals

Course structure

Year 1

Year 1

Modules

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Year 2

Year 2

Core modules

Option modules

Choose one option module from:

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Year in Industry (optional)

Year in Industry (optional)

If you want to, you can spend your third year working in an industrial placement (eligibility is dependent on your academic performance in Years 1 and 2).

NB. A year spent on an industrial placement still incurs a tuition fee, but this is much lower than for a normal year at Leicester. See our Fees and Funding section for details.

An industrial placement is normally a paid company position, more than offsetting the additional cost of the extra year. It is a fantastic opportunity to gain experience of a working environment. You must apply for your placement yourself, but we will help you with the process.

During your placement you will be visited by a member of staff; when you return to the University you may give a presentation of your work experience. You will be provided with a log book to document your placement and will write a final report detailing your work, which will be assessed as part of your degree.

We provide excellent careers support, and our Industrial Advisory Board assists us in keeping our degrees fit for industrial needs. A year in industry is an excellent opportunity to learn more about the type of profession that you can choose after you graduate, and can also point you towards postgraduate studies that may help you strengthen the profile that you have identified for your career.

Your placement effectively begins in year two when you will be briefed in writing a CV, interview techniques and the procedures that you need to follow to obtain a placement. In addition, a list of potential industrial partners who have taken students in past years will normally be provided.

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Year 3

Year 3

Core modules

Option modules

Choose one option module from:

Then choose one option module from:


Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Why Leicester?

State-of-the-art web-based materials, automated feedback and marking systems, online tests and electronic coursework submission all provide an excellent modern learning environment.

Data Science and Machine Learning were identified in the LinkedIn 2017 Emerging Jobs Report as the fastest growing areas of the job market.

A choice of option modules in your second and third years will allow you to tailor the course to your own interests and requirements.

Computer Science at Leicester

Hawwa particularly liked that her course was hands-on and practical rather than just theory-based.

Teaching and learning

Teaching will include: lectures and lab classes, small group tutorials, projects, seminars, workshops,  group projects, problem classes,

State-of-the-art web-based materials, automated feedback and marking systems, online tests and electronic coursework submission all provide an excellent modern learning environment.

Assessment methods are varied and wide-ranging, including: written exams, project dissertation and presentation, assessed lab work, poster presentations, group presentations and a placement assessment (where Year In Industry is undertaken).

Independent learning

When not attending lectures, seminars or other timetabled sessions you will be expected to continue learning independently through self-study. Typically, this will involve reading journal articles and books, working on individual and group projects, undertaking research in the library and preparing coursework assignments and presentations. To help with your independent learning, you can access the Library and our social study spaces in halls of residence.

Your contact hours will depend on the option modules you select. You can see details of the contact hours on individual module pages.

Apply now

Course Duration UCAS Code Availability
Course Data Science BSc Duration 3 years UCAS Code G500 Availability Apply Now
Course Data Science with a Year in Industry BSc Duration 4 years UCAS Code G501 Availability Apply Now