Bachelor of Science (Hons) in Construction Project Management

at Heriot-Watt University - Edinburgh Campus United Kingdom

The 2020 National Student Survey placed chemical engineering at Heriot-Watt as 1st in Scotland and 5th in the UK, based on students’ overall satisfaction with our programmes.

The Times and Sunday Times Good University Guide 2021 ranked Heriot-Watt University as 1st in Scotland and 4th in the UK for Chemical Engineering.

Our MEng in Chemical Engineering provides students with both the theory and practical application expected by industry. We have strong links with professional communities, allowing us to enhance the career prospects of our graduates.

Programme structure:
The MEng programme is a five-year degree which shares the same first four years with the BEng programme. You choose which route to follow at the end of your 4th year, giving you the flexibility to decide which degree best suits your career ambitions.

Our MEng programme gives you a sound understanding of both the chemical and process engineering fundamentals that you need to become a professional chartered engineer. In addition to a grounding in science, maths and engineering, our students acquire practical abilities that are highly sought after by industry.

The final year of the MEng programme offers a range of advanced courses to broaden and deepen students’ understanding of chemical and process engineering. Students study optional courses from a range of specialist engineering subjects along with an extensive research project. Final year MEng students also undertake a commercial tender-based exercise taking on the role of an engineering design house pitching for business to our industrial advisory board.

Fundamental ideas in pure and applied mathematics are developed together with key concepts in computer science. In addition to expertise in both subjects, the course fosters the intellectual skills of analytical reasoning, systematic problem solving and the development and clear communication of ideas. Students studying Mathematics with Computer Science study roughly 75% mathematics and 25% computer science.Those interested in a course with a larger computer science component can follow Mathematics and Computer Science (UCAS GG14). The split in this case is 50/50.

The Edinburgh Business School aims to provide forward-thinking, practical, focused MSc degrees that are outward looking and focused on the global business world. As part of our programme, you will study specialist subjects from across the business sphere including; international business context, competitive strategy, research philosophy and practice, and business economics.

Our courses provide insight into relevant social, political, legal, and macroeconomic conditions affecting international business and will develop your skills in decision-making, people management, leadership and team working.

You will learn how to critically evaluate and implement theories, concepts and techniques of business and apply this knowledge to practical contexts through industry-focused, case-study led projects and ultimately your Industry Placement.

Statistical data science is at the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analysing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.

The MA in Economics and Business Management requires no prior knowledge of the core subject areas of management or economics. The course offers flexibility, allowing students to tailor their choices to suit their own interests. It provides students with the skills necessary for an understanding of both economic and management situations but which are equally transferable to many other situations.

Our masters degree in Interpreting is designed for those who have native/near-native command of English and one other language from:

• Chinese
• French
• German
• Spanish.

You will be taught by experts from the fields of interpreting practice, linguistics, research and education and given the chance to bring your skills to a professional standard through regular practice in our newly-refurbished interpreting booths, which are modelled on those used by the United Nations and the European Union.

This programme is designed for those who want to work as professional interpreters and has been thoughtfully designed to give you expertise to use in a range of contexts including:

• Conference interpreting
• Health-care interpreting
• Legal interpretingEuropean exchange
• Simultaneous interpreting
• Educational interpreting.

This practical interpreting programme provides around 15 hours of academic contact per week in our language labs including weekly multilingual mock-conferences in our interpreting labs.

Cell and Molecular Biology (Biochemistry) is the basic science underpinning our understanding of all life processes. In this course, we cover cell and molecular biological aspects of animals and plants, and provide the broad understanding necessary for a career in the biomedical/pharmaceutical, food and biotechnological industries as well as providing a sound foundation for further research.

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.

Our MSc in Actuarial Management is an established and successful programme covering the more advanced actuarial subjects.

Students will typically study CP1, CP2, CP3 and up to three SP subjects (two SP subjects are needed to satisfy the profession's requirements).

Taking our MSc in Actuarial Management 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.

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) Actuarial Science with a year-long work placement in level 4. The work placement gives you experience of working in an organisation such as a life insurance company, a pension consultancy, an investment management firm or a bank. 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) Actuarial Science degree. Organisations that recent students have secured placements with include Prudential, Aegon and Mercer.

Data Science, as a discipline, sits at the intersection between Computer Science (including Artificial Intelligence and Machine Learning), Mathematics (including Advanced Statistical methods) and selected areas of Engineering. The proposed programme aims to combine core elements of all these areas. Successful completion of this programme will allow the graduate to become a graduate data science engineer, enabling their company or employer to benefit from up to date knowledge in this area.

Key areas of the programme:

• The primary focus of the Data Science Graduate Apprenticeship programme is on developing the knowledge, understanding and skills outcomes sought by employers.