BSc Mathematics with Computing

Colchester Campus

 

INTAKE: October

Program Overview

The BSc Mathematics with Computing program at the University of Essex is designed to provide students with a comprehensive understanding of mathematics and its applications in computing. This interdisciplinary program combines rigorous mathematical training with practical computing skills, preparing students for a wide range of career opportunities in technology, finance, data science, and beyond. Students gain a deep understanding of mathematical concepts and techniques alongside proficiency in programming and computational methods.

  1. Mathematical Foundations: The program emphasizes core mathematical principles including calculus, algebra, statistics, and discrete mathematics. Students develop a strong theoretical background in mathematics, enabling them to analyze complex problems and develop innovative solutions.

  2. Computing Skills: Alongside mathematical training, students acquire essential computing skills. They learn programming languages such as Python, Java, and MATLAB, gaining proficiency in algorithm development, data structures, and software engineering practices.

  3. Interdisciplinary Approach: The BSc Mathematics with Computing program adopts an interdisciplinary approach, encouraging students to integrate mathematical reasoning with computational techniques. This prepares them to tackle real-world problems that require both mathematical modeling and computational implementation.

  4. Specialization Tracks: The program offers flexibility through specialization tracks, allowing students to focus on areas such as machine learning, optimization, cryptography, or financial mathematics. These tracks provide deeper knowledge and practical skills tailored to specific career paths.

  5. Project Work and Research: Students engage in project work and research, applying their mathematical and computing skills to solve practical problems. They have opportunities to collaborate with industry partners or academic researchers, gaining valuable experience and building a professional network.

  6. Industry-Relevant Skills: Graduates of the program are equipped with industry-relevant skills sought after by employers in technology-driven sectors. They are proficient in mathematical modeling, data analysis, software development, and problem-solving, making them versatile candidates for diverse roles.

Pollster Education

Location

Colchester Campus

Pollster Education

Score

IELTS: 6

Pollster Education

Tuition Fee

£ 18600

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70 to 75% or equivalent in their respective country's grading system.

English language proficiency:

  • IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
  • TOEFL: A minimum overall score of 75.
  • PTE Academic: A minimum overall score of 51.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

It is important to note that entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.

The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.  

Academic Excellence Scholarships: The university offers scholarships to outstanding students who demonstrate exceptional academic achievements. These scholarships are typically merit-based and provide financial support towards tuition fees or living expenses.

International Scholarships: The University of Essex provides scholarships specifically designed for international students. These scholarships aim to attract and support talented students from around the world. Eligibility criteria and award amounts may vary, and they may cover a portion of tuition fees or provide assistance with living expenses.

Subject-specific Scholarships: Some departments and schools within the university offer scholarships tailored to specific academic disciplines. These scholarships are often awarded to students with exceptional academic records or those who demonstrate a strong commitment to their field of study.

Access and Participation Scholarships: The university is committed to promoting diversity and inclusion. It offers scholarships and financial support to students from underrepresented backgrounds, including those from low-income families or individuals who are the first in their family to attend university.

Government-funded Scholarships: In addition to internal scholarships, the University of Essex provides information and guidance on scholarships and funding opportunities offered by external organizations and government agencies. These scholarships may be available to students based on factors such as nationality, field of study, or research interests.

Sports Scholarships: The university recognizes the importance of sports and offers scholarships to talented athletes who demonstrate exceptional sporting abilities. These scholarships provide financial support along with access to sports facilities, training programs, and dedicated support services.

It is important to note that scholarship availability, eligibility criteria, and application processes may change over time. 

The BSc Mathematics with Computing program at the University of Essex equips students with a strong foundation in both mathematics and computing, paving the way for diverse and rewarding career opportunities. Graduates from this program possess a unique blend of analytical, problem-solving, and technical skills that are highly sought after in today's job market.  

  1. Data Scientist: Data science is a rapidly growing field that requires strong mathematical and computational skills. Graduates can work as data scientists, using advanced statistical methods and programming languages to analyze large datasets and extract meaningful insights for decision-making in various industries such as finance, healthcare, and technology.

  2. Software Engineer: A solid foundation in computing allows graduates to pursue careers as software engineers. They can develop software applications, design algorithms, and work on complex systems that require mathematical modeling and computational techniques.

  3. Quantitative Analyst (Quant): The finance industry relies heavily on mathematical models for risk assessment, pricing, and trading strategies. Graduates can become quantitative analysts, applying mathematical techniques to financial data and developing models for investment strategies.

  4. Operations Research Analyst: Businesses and organizations use operations research to optimize processes and improve efficiency. Graduates can work as operations research analysts, applying mathematical optimization techniques to solve complex problems in logistics, supply chain management, and resource allocation.

  5. Machine Learning Engineer: With expertise in mathematics and computing, graduates can specialize in machine learning and artificial intelligence. They can develop algorithms for tasks such as pattern recognition, natural language processing, and computer vision.

  6. Actuarial Analyst: The insurance industry relies on actuaries to assess and manage risk. Graduates with a background in mathematics and computing can pursue roles as actuarial analysts, using mathematical models to analyze data and predict future events.

  7. Research Scientist: Graduates can embark on a career in research, working in academia, government agencies, or private research institutions. They can contribute to advancements in fields such as mathematics, computer science, and interdisciplinary areas like computational biology or physics.


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