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What makes Mathematics and Computer Science at Worcester special?

Have you ever wondered about how cyber security and cryptography work, how Google ranks the results of a webpage search, how 3D computer graphics scenes are rendered, how robots can learn to walk or computers learn to play chess, how sports leagues are constructed, or how predictions or insights can be made from Big Data? 

This course brings together fundamental skills in mathematics, modelling, algorithms, programming, logic, computational thinking, machine learning, and data science, to tackle questions like these. 

We focus on the mathematics relevant to practical modelling, deeper understanding of algorithms in computer science, and the computational thinking of data science.

*Subject to approval

Key features

  • Covers the core syllabus of university-level Mathematics and Computer Science degrees.
  • Additional modules featuring mini-projects in mathematical modelling and data analysis, together with transferrable skills in using mathematical software packages, conducting research and communication.
  • Optional modules including data science, cyber security, robotics, meteorology, and remote sensing.
  • Work placement opportunities with companies such as Bosch, IBM and Clearview.
  • Opportunity to apply skills and knowledge from across the whole course in an applied final-year project.
mathematics-and-computing-course-page-key-features

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Entry requirements

What qualifications will you need?

96

UCAS tariff points

Entry requirements

At least 96 UCAS tariff points including A-level Mathematics at grade C or above.

Other information

If you have any questions about entry requirements, please contact the Admissions Office on 01905 855111 or email admissions@worc.ac.uk for advice.

Further information about the UCAS Tariff can be obtained from http://www.ucas.com   

Course content

What will you study?

Our courses are informed by research and current developments in the discipline and feedback from students, external examiners and employers. Modules do therefore change periodically in the interests of keeping the course relevant and reflecting best practice. The most up-to-date information will be available to you once you have accepted a place and registered for the course. If there are insufficient numbers of students interested in an optional module, this might not be offered, but we will advise you as soon as possible and help you choose an alternative. 

Year 1

Mandatory

  • Data and Modelling
  • Foundations of Computing
  • Introduction to Object Oriented Programming
  • Mathematical Foundations

Year 2

Mandatory

  • Explorations in Mathematical Modelling
  • Systems Analysis, Design and Development
  • Vector Calculus and Linear Algebra

Options

  • Data Mining
  • Geographical Information Systems
  • Meteorology and Climate
  • Robotics

Year 3

Mandatory

  • Project (Independent Study)
  • The Nature of Computing

Options

  • Abstract Algebra and Mathematical Puzzles
  • Analytics and Insights
  • Applied GIS and Remote Sensing
  • Atmospheric Processes, Air Pollution and its Modelling
  • Cyber Security
  • Geographical Information Systems
  • Machine Learning
  • Optimisation and Computational Mathematics
  • Practical Database Applications

Teaching and Assessment

How will you be taught?

Teaching

You are taught through a combination of interactive lectures, group tutorials, computer labs, directed reading and formative assessments.  The group tutorials and formative assessments involve practice at problem solving and applying what you are learning to real-world scenarios and practical applications.  Computer labs focus on developing practical skills in modelling, programming, data analysis, project management, and communication.  In addition, meetings with personal academic tutors will take place several times a semester during your time at university.

The University places emphasis on enabling students to develop the independent learning capabilities that will equip you for lifelong learning and future employment, as well as academic achievement.  A mixture of independent study, teaching and academic support from Student Services and Library Services, and also the personal academic tutoring system enables you to reflect on progress and build up a profile of skills, achievements and experiences that will help you to flourish and be successful.

Contact time

In a typical week you will have around 14–16 hours of timetabled (face-to-face) teaching in lectures, group tutorials and computer labs.  These are sessions where students are supported by lecturers and tutors in a lecture room or computer lab.  The precise contact hours will depend on the optional modules selected. 

Independent self study

In addition to the contact time, you are expected to undertake around 20–25 hours of personal self-study per week.  Typically, this will involve problem solving in formative assessments, completing online activities, discussions with your fellow students, reading journal articles and books, working on individual and group projects, preparing coursework assignments and presentations, and preparing for examinations.

Independent learning is supported by a range of excellent learning facilities, including The Hive and library resources, the virtual learning environment, and extensive electronic learning resources.

Duration

  • 3 years full-time
  • 4–6 years part-time
  • 4 years full-time including one year placement

Timetables

Timetables are normally available one month before registration. Please note that whilst we try to be as student-friendly as possible, scheduled teaching can take place on any day of the week; and some classes can be scheduled in the evenings

Teaching staff

You will be taught by a teaching team whose expertise and knowledge are closely matched to the content of the modules on the course. The team includes senior academics, professional practitioners with industry experience, and visiting speakers with specialised expertise.  Teaching is informed by the research and consultancy work carried out by staff and you can learn more about the staff by visiting our staff profiles.

Assessment

The course provides opportunities to test understanding and learning informally through the completion of practice or ‘formative’ assignments.  Each module has one or more formal or ‘summative’ assessments which are graded and count towards the overall module grade.  Assessment methods include written examinations, practical tests and a range of coursework assessments such as reports, portfolios, presentations, posters, and a final-year project.  The precise assessment requirements for an individual student in an academic year will vary according to the mandatory and optional modules taken, but a typical formal summative assessment pattern for each year of the course is:

You will receive feedback on practice assessments and on formal assessments undertaken by coursework. Feedback on examination performance is available upon request from the module leader. Feedback is intended to support learning and you are encouraged to discuss it with personal academic tutors and module tutors as appropriate.

We aim to provide you with feedback on formal course work assessments within 20 working days of hand-in.  

Careers

Where could it take you?

Examples of possible future career paths include: data scientist, software developer, mathematical modeller, game designer, actuary, market researcher, management consultant, transport planner, cryptologist, auditor, tax advisor, systems analyst, engineer, teacher, statistician, government analyst, operational researcher, accountant, cartographer, and meteorologist.

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Costs

How much will it cost?

Full-time tuition fees

UK and EU students

The standard tuition fee for full-time UK and EU students registering in the academic year 2019/20 will be £9,250 per year.

For more details, please visit our course fees page.

International students

The standard tuition fee for full-time international (non-EU) students registering in the academic year 2019/20 will be £12,400 per year.

For more details, please visit our course fees page.

Part-time tuition fees

UK and EU students

The standard tuition fees for part-time UK and EU students registering on this course in the academic year 2019/20 will be £1,156 per 15-credit module, £1,542 per 20 credit module and £2,313 per 30-credit module.

For more details, please visit our course fees page.

Additional costs

Every course has day-to-day costs for basic books, stationery, printing and photocopying. The amounts vary between courses. 24/7 access to computers is provided at the University and software is made available at either no additional cost or minimal cost. Students may also want to purchase a new PC/laptop or upgrade existing equipment for their own usage.

If you decide to take up the optional placement year accommodation and travel costs may be incurred dependent on location of placement. As placements are paid by the employer at minimum wage plus these costs can be covered by the student’s wage. During this year you will pay 10% of normal academic fees to the University. You are provided with a placement tutor, and have access to the advice of the full placement team, as well as all University student support and services.

There are also optional trips which may require you to incur travel costs.

If your course offers a placement opportunity, you may need to pay for a Disclosure & Barring Service (DBS) check.

Accommodation

Finding the right accommodation is paramount to your university experience, and our welcoming student communities are great places to live and study.

We have over 1,000 rooms across our halls of residence. With rooms to suit every budget and need, from our 'Traditional Hall' at £102 per week to 'En-suite Extra' at £165 per week (2019/20 prices).

For full details visit our accommodation page

Apply

How do you apply?

Applying through UCAS

UCAS is the central organisation through which applications are processed for entry onto full-time undergraduate courses in Higher Education in the UK.

Read our How to apply pages for more information on applying and to find out what happens to your application.

UCAS CODE:

GI11

Apply now via UCAS

Get in touch

If you have any questions, please get in touch. We're here to help you every step of the way.

Admissions office

01905 855111
admissions@worc.ac.uk 

Senior Lecturer in Mathematics

Dr Mark Johnston
m.johnston@worc.ac.uk

Senior Lecturer in Computing

Dr Joy Garfield
j.garfield@worc.ac.uk