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The programme is divided into three equal parts, with the second part further subdivided. You will take a series of core courses, choose optional courses and undertake a dissertation or a major project in real estate or planning.Part 1: Understanding cities, markets, institutions and governance Changing cities and neighbourhoods Contemporary government and governance (real estate and planning) Development economics and real estate appraisal.Part 2a: Becoming a reflective and effective practitioner Professional practice and ethics Strategic management and decision making.Part 2b: Making a practical difference Real estate markets Advanced real estate valuation and approval.Optional courses Strategic real estate management Real estate finance and investment International real estate markets Real estate development Asian cities: limited places Housing market analysis Sustainable housing development Other approved courses offered by the University in the subjects of Accounting & Finance, Management, Economics or Urban Studies.Part 3: Research skills and experience You will complete your dissertation or major project in real estate or planning (with research methods).

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You will study via a range of teaching and learning methods including taught courses, case study problem solving, law reform projects, mooting and supervised research. There is an emphasis on intensive full-day teaching sessions combined with your own flexible learning.Core coursesConcepts and developments in Scots law Scots law in European context.

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You will attend lectures, seminars and tutorials and take part in lab and project work.Core courses?Research methods and techniques?Research readings in computing science?Advanced research readings in computing science?Warm-up project?Research proposal?Research project.Optional courses (two courses chosen)?Advanced networking and communications?Advanced operating systems?Algorithmics?Artificial intelligence?Computer architecture?Constraint programming?Digital image processing?Distributed algorithms and systems?Enterprise computing?Functional programming?Human-centred security?Human?computer interaction?Information retrieval?IT architecture?Machine learning?Mobile human?computer interaction?Modelling reactive systems?Multimedia systems and applications?Research readings in information security?Safety critical systems?Component-based software engineering?Security and cryptography.Depending on staff availability, the optional courses listed here may change.

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You will attend lectures and take part in lab work. You will undertake a summer research project which will provide practical application and consolidation of earlier work and enhance your ability to do independent work and present results effectively.Core coursesInorganic, organic, and physical chemistry Frontiers of chemistry Chemistry problems.

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Core courses?Probability?Statistical inference?Introduction to R?Regression models?Generalised linear models?Data analysis?Professional skills?Data-analysis project (leading to a dissertation).Optional coursesYou will choose five optional courses from?Multivariate methods?Biostatistics?Sampling and databases?Bayesian statistics (from 2012)?Introduction to population studies?Principles of probability and statistics?Design of statistical investigations?Time series?Environmental statistics?Advanced Bayesian methods (from 2012)?Statistical genetics?Spatial statistics?Meta-analysis.

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Core courses?Probability?Statistical inference?Introduction to R?Regression models?Introduction to population studies?Sampling and databases?Generalised linear models?Time series?Design of statistical investigations?Spatial statistics?Data analysis?Professional skills?Data-analysis project (leading to a dissertation).

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Core courses?Probability?Statistical inference?Introduction to R?Regression models?Introduction to population studies?Sampling and databases?Generalised linear models?Time series?Environmental statistics?Spatial statistics?Data analysis?Professional skills?Data-analysis project (leading to a dissertation).

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Core courses?Probability?Statistical inference?Introduction to R?Regression models?Biostatistics?Sampling and databases?Generalised linear models?Data analysis?Professional skills?Data-analysis project (leading to a dissertation).Optional coursesYou will choose three optional courses from?Meta-analysis?Statistical genetics?Design of statistical investigations?Time series?Spatial statistics.

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You will choose six courses each semester, depending on your prior knowledge of statistics and subject to the approval of the programme leader. You will also undertake a project leading to a dissertation.Courses are chosen from an extensive list, including?Introduction to R?Multivariate methods?Biostatistics?Sampling and databases?Computational inference (from 2012)?Bayesian statistics (from 2012)?Stochastic processes?Introduction to population studies?Statistical data mining?Principles of probability and statistics?Design of statistical investigations?Generalised linear models?Time series?Data analysis?Professional skills?Environmental statistics?Advanced Bayesian methods (from 2012)?Statistical genetics?Spatial statistics?Meta-analysis.

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You will attend lectures, seminars and tutorials and take part in project work.If you are studying for the MSc you will take a total of 120 credits from a mixture of Level-4 Honours courses, Level-M courses and courses delivered by the Scottish Mathematical Sciences Training Centre (SMSTC).You will take courses worth a minimum of 90 credits from Level-M courses and those delivered by the SMSTC. The remaining 30 credits may be chosen from final-year Level-H courses.

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