1. Building mathematical theory foundation.
2. Applying mathematical knowledge to complex problems.
3. Enhancing computational and programming skills.
4. Cultivating critical thinking and logical reasoning.
5. Prepare for careers in various quantitative fields.

1. Good grades in relevant subjects.
2. High school diploma with advanced mathematics courses.
3. Proficiency in English and basic programming skills are advantageous.
4. A willingness to think critically and challenge.
5. An open mind to different cultures and perspectives.
6. Satisfactory performance in standardized tests (e.g., SAT, ACT, or equivalent).

1. Introduction to Linear Algebra
2. Calculus and its Applications
3. Proofs and Problem Solving
4. Fundamentals of Pure Mathematics
5. Several Variable Calculus and Differential Equations
6. Statistics
7. Computing and Numerics
8. Probability
9. Facets of Mathematics
10. Honours Differential Equations
11. Honours Analysis
12. Honours Complex Variables
13. Numerical Ordinary Differential Equations and Applications
14. Numerical Linear Algebra

1. Lectures
2. Online materials
3. Practical classes
4. Seminars
5. Tutorials
6. Individual projects
7. Group projects
8. Workshops
9. Coursework assignments

1. Mathematics I
2. Accounting and Finance for Managers
3. Mathematics II
4. Introduction to Data Science
5. Fundamentals of Algebra and Calculus
6. Accelerated Algebra and Calculus
7. Accelerated Proofs and Problem Solving
8. Financial Mathematics
9. Introduction to Number Theory
10. Statistical Computing
11. Stochastic Modelling
12. Mathematical Biology
13. Machine Learning in Python
14. Applied Dynamical Systems
15. Algebra and Codes
16. Modelling with Differential Equations
17. Statistical Inference
18. Special Topics II
19. Time Series and Stochastic Processes

1. Written assessments
2. Online assessments
3. Reports
4. Posters
5. Projects
6. Presentations

This programme may vary depending on the institutions and countries, but the general standard options in the UK are:

1. 04 (Full-time).

Applied Mathematics BSc (Hons) in the UK universities typically provide excellent facilities to support student learning and practical experience. These facilities may include:

1. Dedicated Mathematics Departments
2. Advanced Computing Facilities
3. Well-Stocked Libraries
4. Modern Lecture Theaters
5. Collaborative Learning Spaces
6. Career Services
7. Online Learning Platforms
8. Research Centers
9. High-Performance Computing Clusters
10. Specialized Laboratories
11. Numerical Simulation Labs
12. Data Analysis Labs
13. Mathematical Modeling Labs
14. Group Study Rooms
15. Breakout Areas
16. Online Databases
17. Audio-Visual Equipment
18. Industry Partnership Offices
19. Mentorship Programs
20. Academic Advising Offices
21. Student Support Services
22. Writing Centers
23. Tutoring Services
24. Counseling Services
25. Disability Services

1. Data Scientist
2. Data Analyst
3. Actuary
4. Software Engineer
5. Financial Analyst
6. Statistician
7. Operations Research Analyst
8. Machine Learning Engineer
9. Academic Researcher
10. Quantitative Analyst
11. Risk Analyst
12. Investment Analyst
13. Systems Analyst
14. Consultant
15. Teacher or Lecturer
16. Meteorologist
17. Cryptographer
18. Game Developer
19. Civil Servant
20. Engineer (various fields)
21. Medical Physicist
22. Economist
23. Actuarial Consultant
24. Financial Risk Manager
25. Business Analyst

1. Tuition fees range in between £18,400 - £28,000 per year and may vary depending on the institution.
2. Scholarships, grants, and financial opportunities are available.
3. Government loan aid is available.

1. A Foundation degree.
2. A-level standard offer: BBC.
3. A-level minimum offer: BCC.
4. 5 GCSEs including Maths, English, and Science at Grade C/4 or above.
5. IELTS 6.0 overall with 5.5 in all skills.
6. Strong communication and interpersonal skills.
7. A strong academic record.

1. Internship opportunities: Internships at tech companies can involve working on data science projects, machine learning algorithms, or software development.
2. Practical Experiences: Collaborating with industry partners on real-world projects, such as optimizing supply chains or developing new financial products.

1. Certified Data Scientist (CDS)
2. Certified Analytics Professional (CAP)
3. Certified Financial Analyst (CFA)
4. Certified Risk Analyst (CRA)
5. Project Management Professional (PMP)
6. Python Certification
7. R Certification
8. MATLAB Certification
9. Certified ScrumMaster (CSM)
10. Certified Information Systems Security Professional (CISSP)
11. Certified Business Analyst Professional (CBAP)
12. Certified Management Consultant (CMC)
13. Certified in Risk and Information Systems Control (CRISC)
14. Certified Information Security Manager (CISM)
15. Certified Information Systems Auditor (CISA)
16. Certified in Risk and Information Systems Control (CRISC)
17. Certified in Enterprise Risk Management (ERM)
18. Certified in Internal Auditing (CIA)
19. Certified Public Accountant (CPA)
20. Certified Management Accountant (CMA)
21. Certified in Financial Planning and Analysis (CFPA)
22. Certified in Financial Modeling (CFM)
23. Certified in Corporate Finance (CCFP)
24. Certified in Treasury and Risk Management (CTRM)
25. Certified in Supply Chain Management (CSCM)
26. Certified in Operations Management (COM)
27. Certified in Six Sigma Black Belt
28. Certified in Lean Six Sigma
29. Certified in Quality Management (CQI)
30. Certified in Quality Engineering (CQE)

Typically, it takes twice a year (fall and spring), but may vary like:

1. Fall (September/October)
2. Spring (January/February)
3. Summer (May/June)

“I think my studies have developed me so much as a person. I am more confident and find I can tackle any problem given to me.” Says - “Calum Archibald, BSc (Hons) Applied Mathematics, Scotland”