- Study a fascinating and challenging subject and develop skills that are in demand in a variety of exciting professional careers in industry and commerce - Use cutting-edge statistics and mathematics software from Year 1, including MATLAB, Python, R, LaTeX, and SPSS - Enjoy the flexibility to switch between our Mathematics programmes in the first two years - Benefit from small group sizes and quality time with expert staff - Gain valuable industry work experience on an optional Sandwich year between years 2 and 3 All around the world, companies are gathering ever increasing quantities of data and looking for data analysts who can organise, interpret and extract meaningful value from complex data sets. The best of these analysts possess both the computing skills to manage the data and the mathematics skills to go deeper in their analysis to determine patterns, construct models and make predictions. This versatile Mathematics with Data Science programme is designed to provide you with the necessary mathematical background and data analysis techniques to succeed in an increasingly virtual world dominated by Big Data. Our programme shares its core modules with our BSc (Hons) Mathematics and, as such, you will encounter modules on Group Theory, Number Theory, Real Analysis and Graph Theory, as well as modules on Optimisation Techniques, Data Analysis, Predictive Analytics, AI and Cryptography. This dynamic course has been structured to enable you to develop your understanding of the coherence, logical structure and wide variety of applications of mathematics. You also discover the values of research and in-depth study using mathematical and statistical tools and resources, and have opportunities to model various phenomena and interpret numerical data. Our aim is to provide you with a holistic mathematics and data science education by enabling you to combine the world of the pure and abstract with cutting-edge data analysis techniques. In Year 1, you study Calculus, Linear Algebra with Differential Equations, Algorithms and Computer Programming, Probability and Statistics, Analysis, and Discrete Mathematics In Year 2, you look in-depth at Numerical Methods and Predictive Data Analytics. In your final year, you progress to Fundamentals of Surrogate Modelling and Strategic Forecasting and Simulation, and carry out your own Independent Project and Seminar tailored to your interests. There is a range of optional modules which may include Advanced Analysis, Cryptography, and Fundamentals of Machine Learning. With our blended approach to learning you will encounter a combination of teaching techniques such as: flipped-learning, research projects, oral presentations, essay writing, in conjunction with standard lectures, seminars and small group discussions. If you choose to study Mathematics with Data Science at Winchester, your career opportunities are not only numerous, they’re also likely to be fairly well paid. The course allows you to develop the knowledge, understanding, technical skills and confidence to operate successfully in an international and globalised work environment. Mathematics is a multifaceted discipline and its skills, such as problem-solving, rigorous argument and effective communication, along with precise data analysis, are greatly in demand in a broad range of employment sectors. Rewarding professional careers await you in the financial sector, engineering, teaching, health and medicine, business and IT as teachers, data analysts, software developers, researchers and consultants.

Modules are not listed for this Course.

Assessment Methods are not listed for this Course.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G150

Institution code: W76

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

Applicants are required to hold a minimum of 2 x A-level or equivalent qualifications (e.g. 2 x BTEC National Subsidiary Diplomas) and we accept all A-level subjects, including Critical Thinking, General Studies and own-language A-levels. We welcome applicants who have completed the Extended Project (EP/EPQ) and points obtained from this qualification will be included in any offer. In addition, we accept a maximum of 32 points from level 3 qualifications below A2 that are included in the tariff (e.g. AS-levels not studied at A-level, music or dance qualifications). If you are a mature student, your application will be considered on its individual merits and work or other professional experience may be taken into consideration in lieu of other published requirements.

Please click the following link to find out more about qualification requirements for this course

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails
IELTS (Academic)	6.0	An overall score of 6.0, including 5.5 in writing is required. If you require Tier 4 sponsorship, you will require a minimum of 5.5 in all 4 components.

Student satisfaction : 60%

Employment after 15 months (Most common jobs): 75%

Go onto work and study: 100%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
Channel Islands	9250.0	Year 1
Republic of Ireland	9250.0	Year 1

*Please note, the tuition fee for students from the rest of the EU (excluding ROI) are yet to be confirmed by the University. For further information about any additional costs associated with this course please see the individual course page on the University of Winchester website (www.winchester.ac.uk).

Sparkford Road
Winchester
Address3 are not listed for this Course.
Hampshire
SO22 4NR