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Bachelors

Mathematics, BSc Hons

University of Greenwich
London , United Kingdom
Easy Apply
Students
Tuition Fee
GBP 17,000
Per year
Start Date
Medium of studying
Duration
36 months
Program Facts
About Program
About University
Admission Requirements
Ambassadors
Gallery
Easy Apply
Program Facts
Program Details
Degree
Bachelors
Major
Mathematics | Pure Mathematics | Applied Mathematics
Area of study
Mathematics and Statistics
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 17,000
About Program

Program Overview

This BSc Hons in Mathematics from the University of Greenwich equips students with advanced mathematical knowledge and skills for careers in mathematics-based roles. Through a combination of theoretical and practical training, including coursework, exams, and industry internships, graduates gain a deep understanding of mathematical concepts and their applications in various fields, such as data science, operational research, and finance. Additionally, the program fosters analytical thinking, problem-solving abilities, and communication skills essential for success in the modern workplace.

Program Outline

Mathematics, BSc Hons - University of Greenwich

Degree Overview:

This mathematics degree provides students with advanced mathematical methods and techniques necessary for success in mathematics-based roles. The curriculum also includes training in mathematical software, fostering an understanding of the strengths and limitations of computer tools. Students interested in becoming mathematics teachers can gain classroom experience through the Undergraduate Ambassadors Scheme.

Outline:

Full-time:

  • Year 1:
  • Vectors and Matrices (15 credits)
  • Mathematical Coding (15 credits)
  • Calculus and Mathematical Analysis (30 credits)
  • Discrete Mathematics (15 credits)
  • Analysis of Data (15 credits)
  • Probability and Randomness (15 credits)
  • Year 2:
  • Linear Algebra and Differential Equations (30 credits)
  • Numerical Mathematics (15 credits)
  • Operational Research: Linear Programming (15 credits)
  • Simulation and Modelling (15 credits)
  • Vector Calculus (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)
  • Year 3:
  • Compulsory:
  • Choose 1 module from:
  • Research Methods and Mathematics Project (30 credits)
  • UAS: Mathematics Education and Communication (30 credits)
  • Mathematics Work Placement (30 credits)
  • Optional:
  • Choose 30 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Optional:
  • Choose 60 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Linear Models and Statistical Inference (15 credits)

Part-time:

  • Year 1:
  • Mathematical Coding (15 credits)
  • Calculus and Mathematical Analysis (30 credits)
  • Year 2:
  • Vectors and Matrices (15 credits)
  • Discrete Mathematics (15 credits)
  • Analysis of Data (15 credits)
  • Probability and Randomness (15 credits)
  • Year 3:
  • Operational Research: Linear Programming (15 credits)
  • Simulation and Modelling (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)
  • Year 4:
  • Linear Algebra and Differential Equations (30 credits)
  • Numerical Mathematics (15 credits)
  • Vector Calculus (15 credits)
  • Year 5:
  • Choose 30 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Choose 30 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Linear Models and Statistical Inference (15 credits)
  • Year 6:
  • Choose 30 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Linear Models and Statistical Inference (15 credits)
  • Choose 30 credits from:
  • Research Methods and Mathematics Project (30 credits)
  • UAS: Mathematics Education and Communication (30 credits)
  • Mathematics Work Placement (30 credits)

Sandwich:

  • Year 1:
  • Vectors and Matrices (15 credits)
  • Mathematical Coding (15 credits)
  • Calculus and Mathematical Analysis (30 credits)
  • Discrete Mathematics (15 credits)
  • Analysis of Data (15 credits)
  • Probability and Randomness (15 credits)
  • Year 2:
  • Linear Algebra and Differential Equations (30 credits)
  • Numerical Mathematics (15 credits)
  • Operational Research: Linear Programming (15 credits)
  • Simulation and Modelling (15 credits)
  • Vector Calculus (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)
  • Year 3:
  • Mathematics Sandwich Placement
  • Year 4:
  • Choose 1 module from:
  • Research Methods and Mathematics Project (30 credits)
  • UAS: Mathematics Education and Communication (30 credits)
  • Mathematics Work Placement (30 credits)
  • Choose 30 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Choose 60 credits from:
  • Machine Learning (15 credits)
  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Partial Differential Equations (15 credits)
  • Bayesian Methods and Their Applications (15 credits)
  • Linear Models and Statistical Inference (15 credits)

Assessment:

The program utilizes a combination of assessment methods, including:

  • Coursework: Assignments, projects, presentations, and reports.
  • Exams: Written examinations at the end of each term or year.
  • Practical Assessments: Demonstrations of skills and knowledge in practical settings.

Teaching:

  • Lectures: Large group sessions covering core concepts and theories.
  • Seminars and Workshops: Smaller group discussions and activities to deepen understanding and develop critical thinking skills.
  • Tutorials: Individual or small group sessions with instructors to address specific questions and provide personalized support.
  • Independent Study: Students are expected to dedicate time to self-study, including reading, research, and preparation for assessments.

Faculty:

  • The program is taught by a team of experienced academics and practitioners with industry insights.
  • Postgraduate researchers may contribute to lab/tutorial teaching under the supervision of module leaders.
  • Over 90% of lecturers teaching undergraduate modules in Mathematical Sciences hold a teaching qualification.

Careers:

  • Graduates from the Mathematics program are well-prepared for a variety of careers in fields such as:
  • Data Science
  • Statistical Modelling
  • Operational Research
  • Research
  • Internet Technology
  • Pharmaceutical Industry
  • Accounting
  • Banking
  • Civil Service
  • Teaching
  • Logistics
  • Consultancy
  • Actuarial Science
  • Risk Management
  • Marketing
  • The program offers opportunities for sandwich placements, providing students with practical experience in industry.
  • The Employability and Careers Service provides support for students in preparing for placements and graduate roles, including CV clinics, mock interviews, and employability skills workshops.

Other:

  • The program is accredited by the Institute of Mathematics & its Applications.
  • Students can access academic skills and study support through their tutors, subject librarians, and the online academic skills center.
  • The University provides training in IT packages relevant to specific modules.

Home (UK students and EU students with settled or pre-settled status):

£9,250 per year

International:

£17,000 per year

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University of Greenwich

University of Greenwich: A Summary

Overview:

The University of Greenwich is a public university located in London and Kent, England. It boasts three campuses: Greenwich, Avery Hill, and Medway. The university is known for its diverse student body, with students from over 150 countries, and its commitment to providing a high-quality student experience.

Services Offered:

The University of Greenwich offers a wide range of services to its students, including:

    Accommodation:

    On-campus accommodation options are available at all three campuses.

    Careers:

    The university provides career guidance and support services to help students find employment after graduation.

    Student Support:

    A variety of support services are available to students, including academic advising, counseling, and disability support.

    Financial Aid:

    Scholarships and bursaries are available to help students finance their studies.

    Digital Student Centre:

    A digital platform offering support for new and returning students.

Student Life and Campus Experience:

The University of Greenwich offers a vibrant and diverse campus experience. Students can expect:

    Lively Students' Union:

    Each campus has a Students' Union that organizes social events, clubs, and societies.

    Modern Facilities:

    The university has invested in modern facilities, including libraries, labs, and sports centers.

    Excellent Transport Links:

    All campuses are easily accessible by public transport, with connections to central London.

    Campus Bus Service:

    A bus service connects the three campuses.

Key Reasons to Study There:

    Award-Winning Research:

    The university is recognized for its high-quality research, which has won numerous awards.

    Gold in the Teaching Excellence Framework (TEF):

    This recognition highlights the university's commitment to providing an outstanding student experience.

    Diverse Community:

    The university welcomes students from all over the world, creating a diverse and inclusive learning environment.

    Flexible Learning Options:

    The university offers a range of flexible learning options, including online and part-time study.

    Strong Graduate Prospects:

    The university has a strong track record of graduate employment, with many graduates going on to successful careers.

Academic Programs:

The University of Greenwich offers a wide range of undergraduate and postgraduate programs across various disciplines. Some of the key academic strengths include:

    Business and Management:

    The university is known for its strong business programs, including MBA and MSc programs.

    Engineering and Technology:

    The university offers a range of engineering and technology programs, including civil engineering, mechanical engineering, and computer science.

    Arts and Humanities:

    The university has a strong reputation in the arts and humanities, with programs in English literature, history, and creative writing.

    Health and Social Care:

    The university offers a range of health and social care programs, including nursing, social work, and psychology.

Other:

  • The university has a strong commitment to sustainability and has launched a university-wide transformation for a Greener future.

  • The university is home to the Greenwich Portraits series, which celebrates the diverse journeys of its students and alumni.

  • Student Life and Campus Experience:

    While the context mentions the Students' Union and facilities, it does not provide detailed information on student life and campus experiences.

    • Key Reasons to Study There:

    The context mentions some advantages, but it does not explicitly highlight the key reasons to study at the University of Greenwich.

Total programs
404
Admission Requirements

Entry Requirements:

  • UK citizens and permanent residents:
  • 104 UCAS Tariff points, which must include A Level Mathematics at grade C. Equivalent qualifications with UCAS Tariff points may be considered alongside the A Level in Mathematics.
    • Equivalent qualifications may be considered. Applicants meeting specific eligibility criteria will be made a contextual offer with a reduced tariff of up to 16 UCAS Tariff points. Other entry requirements, such as GCSEs, Interview, etc., will still need to be met.
  • International students:
  • The University of Greenwich accepts a broad range of international qualifications for admission to its courses.
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