The MSc Real Estate Finance programme will help you understand real estate in the context of the international financial markets. The programme is designed to prepare you for a career in global real estate finance and investment management. It provides participants with the key quantitative and conceptual skills needed to make the complex decisions required in the real estate finance sector. It also places property investment into context with equity, fixed income and financial derivative products. This programme is accredited by the Royal Institution of Chartered Surveyors. It is also recognised by the Investment Property Forum, facilitating fast-track membership.
The Real Estate Finance programme is particularly suited to graduates with a degree in a quantitative discipline who wish to develop specialist finance skills that can be used in the real estate sector. This programme not only examines investment in the underlying real estate sector but also provides extensive coverage of Real Estate Investment Trusts, Real Estate Funding, Mortgage Backed Securities and Real Estate Portfolio Management.
This programme is offered jointly with our specialist finance faculty at Henley Business School, the ICMA Centre. You will gain a thorough understanding of financial theory and its application in the context of real estate assets through a combination of academic rigour and commercial relevance. The programme allows you to build a portfolio of skills and choose from a range of modules taught across the Business School.
The University of Reading’s long standing reputation in real estate ensures that students on our MSc Real Estate Finance programme have exposure to leading thinking in both academia and industry. You will have modules led by some of the world’s leading real estate finance academics. Guest speakers from industry will further enhance that experience. The field trip will be to a major global city; in the past we have visited New York, Singapore, Hong Kong and Toronto.
Real Estate & Planning
Our School is the largest in the UK for teaching and research in real estate and planning. Established in 1968 at the University of Reading, we are the only major UK real estate and planning centre to be located within a business school. Being part of the Henley Business School reflects our close and longstanding collaborative relationship with industry.
We enjoy a worldwide reputation for excellence in both teaching and research and we are consistently highly ranked in all major league tables. We undertake internationally recognised, leading edge research into real estate, planning and land and we offer a comprehensive range of undergraduate and postgraduate degree courses, all of which are accredited by the Royal Institution of Chartered Surveyors (RICS). Our planning courses are also fully accredited by the Royal Town Planning Institute.
Our programmes are held in high regard by leading employers, many of whom come to us each year to recruit our graduates. We are proud of our outstanding employment record, with more than 95% of our students entering graduate level jobs within 6 months of leaving us.
Henley Business School
Module descriptions are correct for modules taught in the academic year 2017/18. Optional module listings are indicative, and may be subject to change.
Plus specialist electives from a range that may include: Real estate funding, Real estate securities , Real estate portfolio management, Housing economics, Financial econometrics and other selected modules offered by the ICMA Centre subject to timetable constraints.
This programme is ideal for those wishing to pursue a successful career in real estate finance, investment management and research. Since its launch, graduates from the MSc Real Estate Finance have secured employment at a variety of firms, including JP Morgan, Unibail-Rodamco, Schroders, CBRE Finance, LaSalle, LNR Partners, ICG Longbow, DTZ, Grosvenor and Knight Frank.
Students are supported by a dedicated careers adviser and the Reading Real Estate Foundation. Our innovative mentoring programme pairs students with professionals in the industry, both in the UK and overseas.
The School of Real Estate & Planning has a worldwide reputation and a long history of providing postgraduate education in real estate. All our postgraduate programmes open up many options for employment in the real estate industry around the world.
Graduates from the Reading real estate masters are highly sought after and you will be well placed to take up positions across a wide range of positions in real estate investment, finance, portfolio & fund management and research. RICS accreditation also facilitates entry into the main property service and advisory firms. Since its launch graduates from the MSc Real Estate Finance have secured employment at firms such as JP Morgan, Unibail-Rodamco, Schroders, CBRE Finance, La Salle Investment Management, LNR Partners, Grosvenor, Price Waterhouse Coopers, Savills, Knight Frank and Gerald Eve.
The MSc Real Estate Finance is accredited by Royal Institution of Chartered Surveyors. It is also recognised by the Investment Property Forum (IPF), facilitating fast-track membership.
Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. This MSc will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.
The programme combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling. Students choosing the statistics specialisation will take one compulsory module and up to two additional modules in computer science, with the remaining modules (including the research project) taken mainly from within UCL Statistical Science.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation/report (60 credits).
At least two from a choice of Statistical Science modules including:
Up to two from a choice of Computer Science modules including:
All students undertake an independent research project, culminating in a dissertation usually of 10,000-12,000 words. Workshops running during the teaching terms provide preparation for this project and cover the communication of statistics.
Teaching and learning
The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.
Further information on modules and degree structure is available on the department website: Data Science MSc
Graduates from UCL Statistical Science typically enter professional employment across a broad range of industry sectors or pursue further academic study.
The Data Science MSc is a new programme with the first cohort of students due to graduate in 2017. Recent career destinations for graduates of the related Statistics MSc include:
Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organisations and enterprises. A thorough understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should should be accompanied by statistical expertise at graduate level. Data scientists need a broad background knowledge so that they will be able to adapt to rapidly evolving challenges. Recent graduates from the related Statistics MSc have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.
UCL Statistical Science has a broad range of research interests, but has particular strengths in the area of computational statistics and in the interface between statistics and computer science.
UCL's Centre for Computational Statistics and Machine Learning, in which many members of the department are active, has a programme of seminars, masterclasses and other events. UCL's Centre for Data Science and Big Data Institute are newer developments, again with strong involvement of the department, where emphasis is on research into big data problems.
UCL is one of the founding members of the Alan Turing Institute, and both UCL Statistical Science and UCL Computer Science will be playing major roles in this exciting new development which will make London a major focus for big data research.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Statistical Science
82% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.