Master of Science in International Master in Industrial Management (IMIM)

at Heriot-Watt University - Edinburgh Campus United Kingdom

If you want to start your career with a year's work experience in hand, then you should consider this course. It combines the rigorous studies of the BSc (Hons) in Mathematical, Statistical and Actuarial Sciences with a year-long work placement in level 4. The work placement gives you experience of working in an organisation in the financial sector. The Diploma in Industrial Training is gained through successful completion of this work placement. The work placement helps you to develop specific work-related skills, giving you the opportunity to apply and build upon the theory you learn in your studies. It allows you to take on real responsibilities, enhance your interpersonal skills through teamwork and communication and experience workplace culture.

The Diploma is available to all students, including those from overseas, as it does not require a work visa. If you are planning to come to the UK using a student visa you should check the Tier 4 Student Visa Policy Guidance to confirm you are permitted to undertake a work placement as part of your studies. It is your responsibility to find a suitable work placement; acceptance onto the course does not guarantee you a placement. If you are registered on the course and are unable to find a suitable work placement before the end of level 3 then you can transfer to the standard BSc (Hons) in Mathematical, Statistical and Actuarial Sciences degree.

This Physics degree covers subjects including dynamics, electromagnetic fields and optics. These areas lead onto the quantum world of subatomic particles, the unique nature of laser light, and the philosophically challenging ideas of quantum physics and astrophysics. Mathematics also plays an important part in understand physical concepts in more depth. In later years, the course will offer you various topics, including Laser Physics, Photonics, Semiconductor Physics, Instrumentation, Nuclear Physics and Elementary Particles.

Through research projects, you’ll be able to develop skills in experimental design or computational modelling. The course will also help with your practical abilities, initiative and teamwork. The Physics degree is mathematically rigorous and suitable if you’re interested in a career in research.

In the first year of the BEng Engineering course you’ll have the chance to study a range of subjects. Beyond this, you’ll be able to focus on a particular area of expertise to work towards your Engineering degree.

From a wide choice of subjects, you’ll select eight courses to match your interests – usually choosing from two or three subject areas. On the BEng Engineering course, most students choose subjects in  Engineering.  All subjects include some form of industrial design,whether Mechanical, Electrical, Civil or Chemical Engineering.

Our four year BSc Computer Science (Artificial Intelligence) Honours degree is oriented to constructing robust and useable systems. We aim to teach people not just how to deploy cutting edge tools and techniques, but how to build the next generation of software tools that other system constructors will use. This course aims to give a well integrated balance of theoretical underpinnings and practical experience, strongly informed by the research expertise of our academic staff.

All Year 3 students take part in a year-long group project, where they co-operate in tackling a large, realistic problem. Year 4 students conduct a major, year-long, individual dissertation project.

The Artificial Intelligence specialism is gained through taking prescribed courses from the final year options (two of the following: Biologically Inspired Computation, Data Mining and Machine Learning, Intelligent Robotics) and having an approved AI topic for the final year project.

The psychology component of the course (75% of the curriculum) covers the discipline’s main areas, namely social psychology, developmental psychology, cognitive psychology, biological psychology, individual differences, and research methods, and emphasises their application to various employment-related contexts. The management component (25%) of the course introduces (and allows specialism within) marketing, human resource management, finance, and management.

Teaching is mainly via lectures, but large numbers of tutorials mean that staff and students know one another well. Assessment features a mixture of coursework and examination.

The subjects available for BSc Combined Studies at the Edinburgh Campus are:

• Actuarial Science
• Biological Sciences
• Building Engineering
• Chemical Engineering
• Chemistry
• Civil Engineering
• Computer Science
• Electrical and Electronic Engineering
• Information Systems
• Mathematics
• Mechanical Engineering
• Physics
• Statistics.

You can also combine the above subjects with one of the following:

• Accountancy and Finance
• Economics
• Languages
• Management.

A Combined Studies degree allows students to design their own degree course from the subjects offered at Heriot-Watt University. Students take a range of subjects not covered by other degree courses and can pick the right set of subjects from the wide range available to meet individual learning goals. Students can adapt their study on a part-time basis or at a distance. With the help of a Director of Studies, students can devise a study course that will support their ambitions.

Our BSc Computer Science degree focuses on constructing robust and usable systems. As well as looking at cutting edge tools and techniques, it’s designed to help you build the next generation of software tools that other system constructors will use. The course aims to give a well integrated balance of theoretical underpinnings and practical experience, strongly informed by the research expertise of our academic staff.

All Year 3 students take part in a year-long group project, where they co-operate in tackling a large, realistic problem. Year 4 students conduct a major, year-long, individual dissertation project.

You can take advantage of our international campuses by taking part in an Inter-Campus Transfer. This gives you the opportunity to study Computer Science at our Dubai campus for a semester or a year.

This programme prepares candidates for entry into the malting, brewing or distilling industries, or to conduct research. It covers a broad range of subjects, from brewing science and chemical engineering, to business studies and production management.

The quickly developing craft industry, both in brewing and distilling, requires graduates with knowledge of modern instrumentation and this programme will ensure you build the skills and know-how required to perform successfully in the industry.

Our series of ‘Fit for work’ events held on campus include seminars, talks, networking and recruitment exercises and involve a range of industry professionals from graduates with their own companies, to representatives from the major breweries and distilling companies.

MSc Artificial Intelligence (2 years) is a newly designed two-year conversion programme. It has been created to provide the perfect stepping stone for students aiming for a career in artificial intelligence, who may not be coming directly from a computing background.

This two year programme offers an opportunity for students looking to transition to a new career path in artificial intelligence (AI), who may be coming from a background outside computing. Whether your experience lies in psychology, linguistics, science, technology or the arts, this pathway programme is a rare opportunity to become well-versed in the advanced, challenging field of AI.

The programme aims to provide intensive and high-quality preparatory graduate and postgraduate education in artificial intelligence, all within just two years. The collective programme will be taught by a variety of traditional and innovative means, making use of applied topical material relevant to research and industry. This will create a supply of robustly prepared postgraduates with skills relevant to research and industrial applications of AI, in the UK and internationally.

Data science today is becoming increasingly important within the actuarial field, and Heriot-Watt has developed this unique new programme to meet this growing actuarial demand.

Taking our MSc in Actuarial Management with Data Science is a great way to speed your progress to this most prestigious of careers - it's designed to take you almost all of the way to qualification. Our MSc in Actuarial Management is an established and successful programme covering the more advanced actuarial subjects.The MSc in Actuarial Management with Data Science introduces exciting new opportunities for actuaries of the future.

Entry to the actuarial profession is by a demanding series of examinations, but the rewards after qualifying are great. The Institute and Faculty of Actuaries in the UK has four levels of examinations to qualify. The first level, the Core Principles (CS, CM and CB) subjects, are taught in our BSc or MSc in Actuarial Science and lead to exemptions from subjects CS1, CS2, CM1, CM2, CB1 and CB2. Students will typically study CP1, CP2, CP3, two SP subjects (two SP subjects are needed to satisfy the profession's requirements) and two courses on data science applied to insurance.

Actuarial data science combines advanced statistical modelling and analysis with modern computational techniques in order to analyse potentially large datasets arising in insurance and finance. These analyses have the ability to improve forecasts and enhance decision making in an uncertain environment where rapid advancements in technology and data availability are transforming fields of actuarial work. Additionally, they are building synergies with new sectors such as medical and healthcare. This is an area of science and technology that is attracting significant interest and that will continue to grow for the foreseeable future, as more and more industries adopt data-driven and data-centric approaches.

Students graduating from the MSc will have excellent employment prospects that are not restricted to any one narrow sector of financial services. By their choice of IFoA subjects, they may target the life, pensions, asset management, investment and risk management sectors. They will be in demand in quantitative risk management roles in both banks and insurance companies, as well as fund management companies, hedge funds, consultancies, software vendors and regulatory authorities. The market for graduates with actuarial qualifications complemented with data science skills is growing fast and we expect that it will continue to grow for the foreseeable future.