Program Overview

Introduction to the Integrated Master in Science: Mathematics and Data Science

The Integrated Master in Science: Mathematics and Data Science is a comprehensive undergraduate program offered by the University of Essex. This four-year full-time course is designed to equip students with key skills in mathematics and data science, enabling them to apply theoretical concepts to real-world problems.

Overview of the Program

The program is based in the School of Mathematics, Statistics and Actuarial Science and covers a wide range of topics, including mathematical skills, computer science, programming, statistics, operations research, artificial intelligence, databases, and information retrieval. Students will also explore ethical issues surrounding the use and processing of data and develop specialist skills in big data, data analytics, and data science.

Career Opportunities

Graduates of this program will possess a unique combination of mathematical and data science skills, making them attractive candidates for various employers across different sectors, including business, commerce, industry, government service, education, and the wider economy.

Expert Staff and Facilities

The University of Essex boasts a team of expert staff who are driven by creativity, imagination, and technical excellence. The university is also home to state-of-the-art facilities, including the STEM Centre, which provides students with access to ultramodern equipment and resources.

Course Structure

The program offers a flexible course structure, with a mix of core, compulsory, and optional modules. Students will have the opportunity to undertake a Capstone project, applying the techniques they have learned to a data science topic of their choice.

Year 1 Modules

• Calculus (30 credits)
• Matrices and Complex Numbers (15 credits)
• Statistics I (15 credits)
• Discrete Mathematics (15 credits)
• Mathematical and Computational Modelling (15 credits)
• Introduction to Geometry, Algebra, and Number theory (15 credits)
• Mechanics and Relativity (15 credits)
• Mathematics Careers and Employability (0 credits)

Year 2 Modules

• Real Analysis (15 credits)
• Vector Calculus (15 credits)
• Statistics II (15 credits)
• Ordinary Differential Equations (15 credits)
• Linear Algebra (15 credits)
• Abstract Algebra (15 credits)
• Options from list (30 credits)
• Mathematics Careers and Employability (0 credits)

Year 3 Modules

• Complex Variables (15 credits)
• Capstone Project: Mathematics (15 credits)
• Options from list (60 credits)
• Options from list (30 credits)
• Mathematics Careers and Employability (0 credits)

Year 4 Modules

• Advanced Capstone Project: Actuarial Science, Data Science or Mathematics (30 credits)
• Machine Learning (15 credits)
• Applied Regression and Experimental Data Analysis (15 credits)
• Options from list (60 credits)

Teaching and Assessment

Undergraduate students in the School of Mathematics, Statistics and Actuarial Science typically attend three taught hours per module per week. A significant amount of practical lab work is required for written assignments and as part of the learning process. The final mark is a weighted combination of coursework and summer examinations, with regular feedback provided through in-term tests.

Fees and Funding

The home/UK fee for this program is Ł9,790 per year, while the international fee is Ł22,600 per year. Fees will increase for each academic year of study. There may be scholarships, bursaries, or discounts available to help with the cost of the course.

Entry Requirements

UK Entry Requirements

• A-levels: ABB - BBB or 128 - 120 UCAS tariff points from a minimum of 2 full A-levels, including B in Mathematics or Further Mathematics.
• BTEC: DDM or 120 UCAS tariff points from a minimum of the equivalent of 2 full A-levels and only in conjunction with A-level Maths.
• Combined qualifications on the UCAS tariff: 128 - 120 UCAS tariff points from a minimum of 2 full A-levels or equivalent, including B in Mathematics or Further Mathematics.
• IB: 32 - 30 points in the IB Diploma or 128 - 120 UCAS tariff points to include a minimum of 2 Higher Level subjects, including Higher Level Mathematics grade 5.
• IB Career-related Programme: Combinations of IB Diploma Programme courses with BTECs or other qualifications are considered.
• QAA-approved Access to HE Diploma: 128 - 120 UCAS tariff points, depending on the subject studied.
• T-levels: 128 - 120 UCAS tariff points, considered on a case-by-case basis.

International and EU Entry Requirements

The University of Essex accepts a wide range of qualifications from applicants studying in the EU and other countries. International students should contact the Undergraduate Admissions team for more information.

English Language Requirements

Applicants whose first language is not English must meet the English language requirements, which include an IELTS score of 6.0 overall or a specified score in another equivalent test.

Conclusion

The Integrated Master in Science: Mathematics and Data Science at the University of Essex is a comprehensive program that provides students with a strong foundation in mathematics and data science. With its flexible course structure, expert staff, and state-of-the-art facilities, this program is ideal for students who want to pursue a career in mathematics, data science, or related fields.