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Full Time MSc Degrees in St Andrews, United Kingdom

We have 39 Full Time MSc Degrees in St Andrews, United Kingdom

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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The MSc in Advanced Computer Science is a one-year taught programme run by the School of Computer Science. The course consists of two semesters with taught components followed by an 11-week project leading to the submission of a 15,000-word dissertation in August. Read more

The MSc in Advanced Computer Science is a one-year taught programme run by the School of Computer Science. The course consists of two semesters with taught components followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The course is designed to be flexible to allow students the freedom to pursue their own interests within computer science. Students are able to easily change to other specialist MSc programmes offered by the School.
  • Students undertake a significant project, including a wide-ranging investigation and a substantial software development, leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

Teaching format

The taught portion of the MSc programme includes eight modules: two compulsory and six optional from a wide range available. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details about each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue, which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. Read more

The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.

Highlights

  • The course is commercially relevant and has content aligned with the requirements in the commercial analysis sector. Dissertation topics are generated in part by commercial partners.
  • Teaching includes widespread commercial software packages (SAS, SPSS) along with popular open-source tools (R).

Teaching format

The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.

For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.

The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017-2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The MSc in Artificial Intelligence is a one-year taught programme run by the School of Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August. Read more

The MSc in Artificial Intelligence is a one-year taught programme run by the School of Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The MSc in Artificial Intelligence is a specialist course but retains some flexibility, allowing students to pursue other areas of computer science alongside the compulsory specialist modules. 
  • Students undertake a significant project, including a wide-ranging investigation and a substantial software development, leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

Students on this course may switch to an MSc in Advanced Computer Science or in Information Technology after the first semester.

Teaching format

The taught portion of the MSc programme includes eight modules: five compulsory and three optional from a wide range available. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students. 

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Physics and Astronomy
Distance from St Andrews: 0 miles
The MSc in Astrophysics is a one-year taught programme run by the School of Physics and Astronomy. Read more

The MSc in Astrophysics is a one-year taught programme run by the School of Physics and Astronomy. The programme is intended to provide an entry route to astrophysics research and potentially PhD programmes for students who have taken an undergraduate BSc degree in Physics, Mathematics or an equivalent cognate discipline.

Highlights

  • Students are able and encouraged to use the University Observatoryand the James Gregory Telescope, the largest working optical telescope in the UK.
  • You will also have the opportunity to take part in an observing run at the Teide Observatory on Tenerife, Spain.
  • The programme prepares students to undertake astrophysical research at PhD level.
  • Modules provide transferable skills which enhance employability in and out of academia.

Teaching format

The MSc consists of two semesters of taught courses including a 3.5-month significant research project and dissertation (15,000 words). Teaching methods include lectures and tutorials, covering areas of both theoretical and observational astrophysics, and modules are assessed through examination, research projects and continuous coursework.

Throughout the programme students will not only gain a full working knowledge of the fundamental aspects of astrophysics but will also develop their transferable skills such as programming, data analysis, problem solving, scientific writing, presentation and science outreach skills, enhancing employability in and out of academia.

Access to the University Observatory and James Gregory Telescope allows students receive a hands-on experience to develop their observational expertise, which can then be followed into their research projects with the option to use either facilities at St Andrews or remote observing facilities around the world.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Management
Distance from St Andrews: 0 miles
The Masters in Banking and Finance is a one-year taught programme run by the School of Management. Highlights. The course provides an in-depth study of the theory and practice of modern banking and finance. Read more

The Masters in Banking and Finance is a one-year taught programme run by the School of Management.

Highlights

  • The course provides an in-depth study of the theory and practice of modern banking and finance.
  • The Centre for Responsible Banking and Finance (CRBF) exposes students to the research and work of eminent academics and business executives.
  • This programme opens a wide range of new and exciting career opportunities as many financial firms and government agencies require an in-depth knowledge of the functioning of financial markets and institutions.

Teaching format

The taught elements of the programme are delivered through a mixture of core and optional modules, using a range of delivery methods including lectures, small group tutorials, workshops and seminars. The average lecture size is 30 students, but in some cases there will be seminars of 15 to 18 students or larger lectures with up to 100 students, which would normally be augmented by small group tutorials.

Assessment comprises a combination of coursework and examinations. From June to August, students undertake a research project culminating in a written dissertation of 15,000 words. You will attend a weekly series of lectures and workshops focusing on research methods and other topics to help prepare you for the dissertation.

Modules

The modules in this programme have varying methods of delivery and assessment. Typically, each module consists of three to five contact hours per week including lectures, seminars and tutorials. Assessment is either entirely by coursework or through a combination of coursework (50%) and a two-hour end-of-semester examination (50%).

For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Chemistry
Distance from St Andrews: 0 miles
The MSc in Catalysis is a one-year taught programme run by the School of Chemistry. It is designed to equip students and professionals who have a degree in Chemistry or a similar subject with a range of analytical, critical and communication skills. Read more

The MSc in Catalysis is a one-year taught programme run by the School of Chemistry. It is designed to equip students and professionals who have a degree in Chemistry or a similar subject with a range of analytical, critical and communication skills.

Highlights

  • Provides you with understanding of the science of catalysis in the context of its impacts on industry and academia. You will gain knowledge in all major branches of catalysis, including homogeneous and heterogeneous catalysis, organocatalysis, biocatalysis, asymmetric catalysis and ligand design.
  • Skills acquired in the taught element will be applied in a short, intensive research project. This research-led teaching component is aligned with the interests of the School's world leading research groups.
  • St Andrews has extensive expertise in catalysis research; this has been recognised by the award of the EPSRC Centre of Doctoral Training in Critical Resource Catalysis. Some of the specialised teaching is delivered in collaboration with this centre. 
  • Students have access to major facilities across the full spectrum within the School of Chemistry, including X-ray crystallography, electron microscopy and NMR (both solution and solid state).

Teaching format

The course consists of two semesters of taught modules followed by a significant research project and dissertation (15,000 words) focused over the summer months.

Teaching methods include:

  • seminars
  • lectures
  • tutorials
  • practical laboratory work
  • consultation sessions with supervisors.

Modules are assessed through coursework, written examinations, or a combination of both. Typical class sizes range from around 5 students for seminars and tutorials and around 40 students for lectures. 

Further particulars regarding curriculum development.

Modules

Students will take six compulsory modules during the course and choose three optional modules during Semester 1 and 2.

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Chemistry
Distance from St Andrews: 0 miles
The MSc in Chemical Science is a one-year taught programme run by the School of Chemistry. Highlights. The course offers a wide range of modules which allow students to develop skills in specialised areas. Read more

The MSc in Chemical Science is a one-year taught programme run by the School of Chemistry.

Highlights

  • The course offers a wide range of modules which allow students to develop skills in specialised areas.
  • The programme introduces modern chemical science concepts and techniques, exploring further advanced research-led topics through a range of optional modules to equip you with a range of analytical, critical and communication skills.
  • Students have access to major facilities across the full spectrum within the School of Chemistry including X-ray crystallography, electron microscopy and NMR (both solution and solid state).

Teaching format

The course consists of two semesters of taught modules followed by a significant research project and dissertation (15,000 words) focused over the summer months.

Teaching methods include:

  • seminars
  • lectures
  • tutorials
  • practical laboratory work
  • consultation sessions with supervisors.

Modules are assessed through coursework and/or written examinations. Typical class sizes range from around 5 students for seminars and tutorials and around 40 students for lectures.

Modules

Students will take three compulsory modules during the course and choose four optional modules in semester 1 and three optional modules in semester 2.

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The MSc in Computer Communication Systems is a one-year taught programme run by the School of Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August. Read more

The MSc in Computer Communication Systems is a one-year taught programme run by the School of Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The MSc in Computer Communication Systems is a specialist course but retains some flexibility, allowing students to pursue other areas of computer science alongside the compulsory specialist modules.
  • Students undertake a significant project, including a wide-ranging investigation typically featuring substantial software development or an advanced analytical framework.
  • Students have 24-hour access to modern computing laboratories

Students on this course may switch to an MSc in Advanced Computer Science or in Information Technology after the first semester.

Teaching format

The taught portion of the MSc programme includes eight modules: four compulsory and four optional from a wide range available. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The degree is taught by the School of Computer Science and by English Language Teaching. In the first semester, which starts in January, all students take a Programming module in addition to two English language modules. . Read more

The degree is taught by the School of Computer Science and by English Language Teaching. In the first semester, which starts in January, all students take a Programming module in addition to two English language modules. 

Course options

For students with a degree in Computer Science or a related discipline, such as Information Systems or Engineering:

  • Advanced Computer Science
  • Artificial Intelligence
  • Computer Communication Systems
  • Software Engineering

For students who do not necessarily have a Computer Science background but are able to demonstrate proficiency in programming:

  • Human Computer Interaction

For students who do not necessarily have any prior knowledge of Computer Science, IT, programming, or management:

  • Computing and Information Technology
  • Information Technology
  • Management and Information Technology

Highlights

  • This programme offers an innovative way to start your degree with a structure that allows you to continue developing your knowledge of English.
  • You will study both Computer Science and English Language modules – for credit – right from the start. 
  • The University’s School of Computer Science is ranked second in the UK by the Guardian University Guide 2018.
  • One visa covers the full length of the programme.
  • After the first taught semester, you will continue onto a suitable Masters degree in Computer Science based on your performance on the initial Programming module. This also provides you with a high level of flexibility of study.   

Teaching format

The taught portion of the MSc programme includes eleven modules: three related to English Language and eight specific to Computer Science. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

All students are assigned an adviser who meets with them at the start of the year to discuss module choices and who is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2016–2017 academic year; some elements may be subject to change for 2017 entry.



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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The MSc in Computing and Information Technology is a one-year taught programme run by the School of Computer Science. The course consists of two semesters of taught components followed by an 11-week project leading to the submission of a 15,000-word dissertation in August. Read more

The MSc in Computing and Information Technology is a one-year taught programme run by the School of Computer Science. The course consists of two semesters of taught components followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The course is designed to be flexible to allow students the freedom to pursue their own interests within computer science.
  • The course introduces students to programming skills in a modern software development environment.
  • Students undertake a significant project, including a wide-ranging investigation, leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

After the first semester, students may switch to the more general MSc in Information Technology, in which programming modules are not required.

Teaching format

The taught portion of the MSc programme includes eight modules: three compulsory and five optional from a wide range available. Teaching methods include:

  • lectures
  • seminars
  • tutorials
  • practical classes.

Class sizes typically range from 10 to 50 students. Most modules are assessed through practical coursework exercises and examinations.

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and who is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews Interdisciplinary Degrees
Distance from St Andrews: 0 miles
The MSc in Conservation Studies is a one year interdisciplinary Masters degree that brings together students from a range of backgrounds but with a shared passion for conservation. Read more

The MSc in Conservation Studies is a one year interdisciplinary Masters degree that brings together students from a range of backgrounds but with a shared passion for conservation.

Highlights

  • The interdisciplinary approach means you can explore a range of methodological approaches to conservation – ecological, economic, historical, etc.
  • You will gain a scientific understanding of data collection and analysis and engage with issues in conservation policy at different scales.
  • An ideal opportunity to research ecological case studies and examples from a range of habitats in aquatic and terrestrial systems.
  • Students complete a practically orientated summer research project which can be undertaken in collaboration with an external organisation involved in conservation work.

The growing understanding of ecosystems, ecosystem services, and biodiversity suggests that conservation of the environment is crucial to humankind's survival. However, there are significant challenges to effective conservation.

Firstly, there is a need for further advances in scientific understanding and data collection. The MSc Conservation Studies provides advanced training in data collection and analysis and the design of ecological studies with the opportunity for you to develop field work, mathematical computing, and experimental skills.

Secondly, there is the need to inform and engage the public, managers, and decision makers. On the MSc Conservation Studies you will explore conflicts between different human agencies, engage with conservation policy and governance at different scales (local, national, and international), and consider the relationship between the public, science, and policy.

The MSc Conservation Studies is distinguished by its interdisciplinary character and involves academic staff from the following Schools:

  • Biology
  • Classics
  • Earth and Environmental Sciences
  • Geography and Sustainable Development
  • History
  • Mathematics and Statistics
  • Philosophical, Anthropological, and Film Studies.

You will be encouraged to use ideas from different disciplines to illuminate present day conservation debates with a view to mediating what can appear to be irreconcilable differences of opinion.

Teaching format

The MSc degree requires two semesters of full-time coursework, normally equivalent to six modules.

The course involves both independent and group study. Modules have different methods of delivery, including:

  • lectures
  • seminars
  • tutorials
  • practical classes.

Assessments include:

  • written assignments
  • practical work
  • presentations
  • creating podcasts.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The MSc in Data-Intensive Analysis is a one-year taught programme run collaboratively by the Schools of Computer Science and Mathematics and Statistics. Read more

The MSc in Data-Intensive Analysis is a one-year taught programme run collaboratively by the Schools of Computer Science and Mathematics and Statistics. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The course develops practical skills in derivation, validation and deployment of predictive models based on collected data, and provides training in the use of industry- and research-standard technologies and techniques.
  • Students undertake a significant project including a wide-ranging investigation leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

Teaching format

The taught part of this MSc programme includes five compulsory modules in statistics and data analysis, plus a choice of two from four modules in Computer Science. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details about each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue, which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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The MSc in Data-Intensive Analysis is a one-year taught programme run collaboratively by the Schools of Computer Science and Mathematics and Statistics. Read more

The MSc in Data-Intensive Analysis is a one-year taught programme run collaboratively by the Schools of Computer Science and Mathematics and Statistics. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

  • The course develops practical skills in derivation, validation and deployment of predictive models based on collected data, and provides training in the use of industry- and research-standard technologies and techniques.
  • Students undertake a significant project including a wide-ranging investigation leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

Teaching format

The taught part of this MSc programme includes five compulsory modules in statistics and data analysis, plus a choice of two from four modules in Computer Science. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Further particulars regarding curriculum development.

Modules

The modules in this programme have varying methods of delivery and assessment. For more details about each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue, which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Computer Science
Distance from St Andrews: 0 miles
The European Masters MSc in Dependable Software Systems is a two-year taught programme run jointly by computer science departments at the University of St Andrews, . Read more

The European Masters MSc in Dependable Software Systems is a two-year taught programme run jointly by computer science departments at the University of St Andrews, National University of Ireland Maynooth and Université de Lorraine Nancy in France.

Highlights

  • Students study at two of the three following internationally recognised universities in computer science: University of St Andrews, National University of Ireland Maynooth and Université de Lorraine Nancy in France.
  • Students undertake a significant project, including a wide-ranging investigation, leading to their dissertation which enables them to consolidate and extend their specialist knowledge and critical thinking.
  • Students gain the logical reasoning and problem-solving skills needed for a career in the software industry.
  • While at St Andrews, students have 24-hour access to excellent modern laboratories, provisioned with modern dual-screen PC workstations and group working facilities.

Teaching format

Students study at two of the three partner universities. Semesters 1 and 3 normally consist of foundational topics upon which students can build their specialisations, whereas Semesters 2 and 4 normally consist of specialised modules and project work. In both universities, students complete a dissertation research project. 

At St Andrews, teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.

At St Andrews, all students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Further particulars regarding curriculum development.

Modules

The following are European Masters modules offered by the University of St Andrews. Find out more about the specific modules offered by the other universities

The modules in the St Andrews programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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University of St Andrews School of Economics and Finance
Distance from St Andrews: 0 miles
The MSc in Economics is a one year taught postgraduate programme run by the University of St Andrews' School of Economics and Finance. Read more

The MSc in Economics is a one year taught postgraduate programme run by the University of St Andrews' School of Economics and Finance.

Highlights

  • In the 2014 UK Research Excellence Framework exercise, the School was ranked joint tenth in the UK and second in Scotland on the basis of the quality of its research publications, with over 80% of the research publications being classified as internationally excellent or world-leading.
  • Small group teaching allows a high level of student-teacher interaction, encouraging a warm and friendly learning environment.
  • The programme focus is to prepare students for jobs at a senior level in a wide range of areas: economics, finance, commerce, insurance, academia, diplomatic service and banking.
  • Supplementary lectures in mathematical and statistical methods are available.

Teaching format

The programme consists of traditional lectures, tutorials, seminars and computer lab work in small groups, plus a 15,000 word dissertation on a topic relevant and appropriate to the MSc of your choice. Courses are assessed both continuously and with end-of-semester exams.

Every MSc student is assigned an adviser at the beginning of the year. Your adviser will provide you with individual guidance on essay planning and writing, module choice, dissertation topics and academic conduct.

Modules

Each module typically comprises:

  • 20 lecture contact hours
  • 5 contact hours including seminars, workshops and tutorials
  • intensive independent study
  • 50% continuous assessment
  • 50% by two-hour examination.

For more details about each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue, which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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