ARTIFICIAL INTELLIGENCE AND FINANCIAL INFORMATICS

University of Surrey
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Data analysis
Databases
Python
Matlab

Job description

  • To develop students understanding of core areas in advanced mathematics including standard tools for the solution of real life applied mathematical problems.
  • To develop the skill of formulating a mathematical problem from a purely verbal description.
  • To develop the skill of writing a sophisticated mathematical report and, additionally, in presenting the results in the form of an oral presentation.
  • To lay a foundation for carrying out mathematical research leading to a research degree and/or a career as a professional mathematician in an academic or non-academic setting., This Master's Degree programme is studied full-time over one academic year, consisting of 180 credits at FHEQ level 7*. All modules are semester based and worth 15 credits with the exception of project, practice based and dissertation modules. Possible exit awards include:
  • Postgraduate Diploma (120 credits)
  • Postgraduate Certificate (60 credits) *some programmes may contain up to 30 credits at FHEQ level 6.

Requirements

Ability to demonstrate knowledge of key techniques in advanced mathematics and to apply those techniques in problem solving. C PGCert, PGDip, MSc Ability to formulate a mathematical description of a problem that may be described only verbally. C PGCert, PGDip, MSc An understanding of possible shortcomings of mathematical descriptions of reality. C PGCert, PGDip, MSc Professional practical skills for a research mathematician are fluency in advanced mathematical theory, the ability to interpret the results of the application of that theory, an awareness of any weaknesses in the assumptions being made and of possible shortcomings with model predictions, and the skill of writing an extended and sophisticated mathematical report and of verbally summarising its content to specialist and/or non-specialist audiences. P PGCert, PGDip, MSc Ability to reason logically and creatively. T PGCert, PGDip, MSc Effective oral presentation skills. T PGCert Written report writing skills. T PGCert Skills in independent learning. T PGCert Time management. T PGCert, PGDip, MSc Use of information and technology T PGCert, PGDip, MSc Knowledge of the core theory and methods of advanced pure and applied mathematics and how to apply that theory to real life problems. K PGCert, PGDip, MSc Ability to use software such as MATLAB and IT facilities more generally including research databases such as MathSciNet and Web of Knowledge. C MSc An in-depth study of a specific problem arising in a research context. K MSc, Except for the dissertation, all modules are optional, subject only to the requirements noted above (e.g., for the MSc, a minimum of 150 credits must be at Level 7). Also, students should take no more than 4 modules in any semester., Employability: The programme equips students with a combination of mathematical expertise and problem-solving skills, both of which are highly valued by employers. The strong mathematical skills developed by students are of practical relevance in solving complex problems across various industries, such as finance, engineering, data science, and technology. The ability to analyse and solve complex problems using mathematical reasoning, critical thinking, and logical deduction holds universal significance is thus highly prized by employers.

Digital Capabilities: Through digital tools, programming and data analysis techniques, the programme equips students with the ability to apply their mathematical knowledge in a digital context and to amass the digital proficiency needed to excel in today's technology-driven world. Students have the opportunity to gain proficiency in Python, enabling them to perform complex mathematical calculations via symbolic computations and to implement mathematical algorithms and simulations.

Resourcefulness and Resilience: The programme provides a learning journey that takes students on an exploration of mathematical concepts and problem-solving scenarios, during which they learn to adapt and innovate in the face of challenges. The processes of encountering abstract concepts and applying mathematical techniques fosters resourcefulness, with students encouraged to approach problems from multiple angles. The persistence required to solve complex mathematical problems cultivates resilience.

Sustainability: Mathematics plays a crucial role in understanding patterns, predicting trends, and designing efficient solutions that minimize resource consumption and environmental impact. From modelling energy consumption to optimizing water quality, mathematics equips students with the quantitative skills needed to tackle sustainability issues across various sectors. By covering mathematical approaches to sustainability, students gain the capacity to contribute meaningfully to building a more sustainable future.

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