Masters Degrees (Applied Statistics)

The Master of Science Degree in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. It prepares students for immediate employment in a variety of high-paying industry positions or doctoral study in applied statistics or a related field.

Applied statisticians are in high demand in the current high-technology economy. Our program emphasizes a flexible curriculum that allows a wide variety of concentrations of application, including biology, mathematics, computer science, psychology, health sciences, business, pharmaceutical product development, and other self-designed multi-disciplinary concentrations. The Program also offers paid internship opportunities and flexible class offerings allowing for both full-time and part-time students.

We encourage students from diverse academic backgrounds to consider our program. Due to the interdisciplinary nature of the program, various undergraduate majors and interests are eligible for admissions.

Curriculum

After admission to the program, students will be allowed to select the thesis or nonthesis track for the M.S. in applied statistics. The thesis option replaces one of the elective classes and STA 531 with a six-credit thesis, to be initiated after the completion of STA 504 or STA 505 and STA 506.

Core modules for non-thesis option:

STA 505 Mathematical Statistics I or STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II
STA 507 Introduction to Categorical Data Analysis
STA 511 Intro Stat Computing & Data Management
STA 512 Principles of Experimental Analysis
STA 513 Intermediate Linear Models
STA 514 Modern Experimental Design
STA 531 Topics In Applied Statistics

PLUS

Select two, three-credit electives from a selected area of concentration or STA 601 and one additional three-credit elective from a selected area of concentration

Core modules for thesis option:

STA 505 Mathematical Statistics I or STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II
STA 507 Introduction to Categorical Data Analysis
STA 511 Intro Stat Computing & Data Management
STA 512 Principles of Experimental Analysis
STA 513 Intermediate Linear Models
STA 514 Modern Experimental Design
STA 609 Thesis I
STA 610 Thesis II

PLUS

Select one three-credit elective from a selected area of concentration or STA 601

Please see the website for more detailed information about these modules:

http://catalog.wcupa.edu/general-information/index-course-prefix-guide/course-index/graduate/sta/

Statistics Institute

The West Chester Statistics Institute (WCSI) provides statistical support, analysis, and education on a short or long term basis on specific projects for the West Chester University community and for regional business, industry, and academic institutions. WCSI is a non-profit organization, committed to providing hands-on, supervised educational opportunities for current West Chester University Applied Statistics Graduate Students. For more information please visit the website:

https://wcupa.edu/sciences-mathematics/mathematics/gradstat/statisticsInstitute.aspx

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If numbers drive you, let Applied Statistics be your destination. Applied Statistics is a challenging field. With a Manderson degree, even when the numbers are stacked against them, our graduates are ready.

Visit the website: http://manderson.cba.ua.edu/academics/departments/masters_program/master_of_science_in_applied_statistics

Course detail

The candidate for a graduate degree in Applied Statistics is normally expected to have completed courses in mathematics equivalent to two semesters of undergraduate calculus, and to have a working knowledge of computer programming and linear or matrix algebra.

Format and assessment

The M.S. degree in Applied Statistics requires 30 hours, half of which are track specific. There are two different tracks within this degree. These include: Statistics and Analytics. There are five required courses common to both tracks of study.

The electives may be earned in additional coursework with the approval of a faculty advisor. The program of related courses may vary from student to student and depends on the student's interests and academic background. When most of the coursework is completed, the student must pass a written comprehensive examination OR a professional exam such as the Actuarial P Exam, SAS Predictive Modeler Exam, or the ASQ Certified Quality Engineer Exam.

Required modules:

- ST 552 Applied Regression Analysis
- ST 553 Applied Multivariate Analysis
- ST 554 Mathematical Statistics I
- ST 555 Mathematical Statistics II
- ST 560 Statistical Methods

How to apply: http://graduate.ua.edu/prospects/application/

Fund your studies

Student Financial Aid provides comprehensive information and services regarding opportunities to finance the cost of education at The University of Alabama. We recognize that financial assistance is an important key to helping reach your educational and career goals. The financial aid staff is dedicated to making the financial aid process as straightforward as possible. Visit the website to find out more: http://financialaid.ua.edu/

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This 2-year, part-time MSc Applied Statistics is accredited by the Royal Statistical Society and has been specially designed to meet the personal and career development needs of people who want to continue working, or gain valuable interning experience, while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures. This programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the modelling and forecasting of time-dependent phenomena.

Over 2 years, in lectures and practical computing sessions, the course covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce and research. The programme proceeds from a strong theoretical background, but it is practically oriented, in order to develop your ability to tackle new and non-standard problems confidently. The mutual dependence of practice and theory is emphasised throughout the course.

All students are initially registered on the MSc Applied Statistics. After a common first year of core modules in theoretical and applied statistics, the second year allows you to orient your programme of studies towards your own particular interests and career objectives. You select 4 modules (each running over a single term) from a range of specialist streams.

In addition to undertaking your 4 chosen option modules, you also complete a project - a sustained, independent investigation into a subject that interests you.

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The Certificate in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. It prepares students for immediate employment in a variety of high-paying industry positions or doctoral study in applied statistics or a related field.

Applied statisticians are in high demand in the current high-technology economy. Our program emphasizes a flexible curriculum that allows a wide variety of concentrations of application, including biology, mathematics, computer science, psychology, health sciences, business, pharmaceutical product development, and other self-designed multi-disciplinary concentrations. The Program also offers paid internship opportunities and flexible class offerings allowing for both full-time and part-time students.

We encourage students from diverse academic backgrounds to consider our program. Due to the interdisciplinary nature of the program, various undergraduate majors and interests are eligible for admissions.

Curriculum

If you wish to pursue your studies on a parttime basis or just learn some new skills, the Certificate Program in Applied Statistics is a viable and exciting option. This 19-credit hour program is a hands-on curriculum that will give you knowledge and experience in applying statistical and computational procedures to reallife problems. For instance, you will learn how to effectively design and analyze data from a clinical trial.

The Certificate Program offers a broad overview and introduction to application of statistical concepts to various research settings. This program emphasizes hands-on course work, rather than the internship opportunity and independent research option of the MSc.

Core modules:

• STA 507 Introduction to Categorical Data Analysis (3 credits)
• STA 511 Intro Stat Computing & Data Management (3 credits)
• STA 512 Principles of Experimental Analysis (4 credits)
• STA 514 Modern Experimental Design (3 credits)

Electives:

• Select two courses from a selected area of concentration (6 credits)

Please visit the website for more detailed information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/mathematics/applied-statistics-certificate/

Careers

Program graduates are employed in the following fields:

• Natural Sciences Managers
• Clinical Research Coordinators
• Actuaries
• Statisticians
• Clinical Data Managers
• Survey Researchers
• Mathematical Science Teachers, Postsecondary

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Our MSc in Operational Research and Applied Statistics aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts.

This course is ideal training and experience for those looking for career opportunities in areas such as Operational Research, management science, statistics, management consultancy, business analytics, supply chain management, government operational research/statistics.

You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.

Distinctive features:

• Available on a one year full-time or three year part-time basis

• Acquire transferable operational research and statistical skills that are highly sought after in a broad range of sectors

• Learn from experts in the fields of Operational Research and Statistics

• Gain valuable work experience; we have some placement opportunities available with industrial partners in the UK and abroad

Structure

The course can be completed in one year with full-time study or in three years by part-time study.

The one-year course includes a three-month period working with a company on a real problem that they have identified. You will take 80 credits of core modules and 40 credits of optional modules in the taught component of the programme. This is followed by a 60 credit summer project.

As a part-time student you will typically need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks each year. You will usually complete the taught component of the programme over two years with up to a further year to complete the project dissertation.

The programme will prepare you with essential techniques in Operational Research and Applied Statistics, and then allow you to select from optional courses in topics such as supply chain modelling, healthcare, and Statistics and Operational Research for Government (delivered with input from the Office for National Statistics and Welsh Assembly Government).

You will have the opportunity to put the theory into practice, through case studies and project work in the ‘real-world’. An important feature of the MSc is the project dissertation, allowing you to work with an external company.

For a list of modules for the FULL-TIME route, please see website:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/operational-research-and-applied-statistics-msc

For a list of the modules for the PART-TIME route, please see website:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/operational-research-and-applied-statistics-msc-part-time

Teaching

The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.

You will apply the skills you develop through presentations, research assignments, case studies and the summer project.

Assessment

During the course your development will primarily be monitored via tutorial sheets, with other means where appropriate.

Written examinations, often in combination with an in-course element forms overall assessment.

Career Prospects

This programme prepares you for a career in areas such as operational research, management science, statistics, risk analysis, financial modelling, actuarial risk and credit scoring, management consultancy, business analytics, supply chain management, government operational research /statistics.

Our School of Mathematics has well established and strong links with many employers of Operational Researchers and Applied Statisticians, who regularly offer projects and/or recruit our students.

If you prefer to continue on a more academic career pathway, you may choose to continue your studies with a PhD.

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Our MSc in Operational Research, Applied Statistics and Financial Risk aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts.

This course is ideal training for those who wish to study, in greater depth, risk models, particularly for application to financial markets but also to other sectors. 

You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.

Distinctive features:

• This course will give you the opportunity to study risk models in greater depth, particularly those models used in financial markets.

• The skills you will develop are highly transferable for use within industry, business and the public sector.

• The School of Mathematics has excellent links with a number of organisations who employ Operational Researchers, Statisticians and Financial / Risk Modellers

Structure

The course can be completed in one year with full-time study or in three years by part-time study.

This full-time one year course includes a three month period working with a company on a real problem that they have identified.
You will take 110 credits of core modules and 10 credits of optional modules in the taught component of the programme. This is followed by a 60 credit summer project.

As a part-time student you will typically need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks each year. You will usually complete the taught component of the programme over two years with up to a further year to complete the project dissertation.

The programme will prepare you with essential techniques in Operational Research and Applied Statistics, and then allow you to select from optional courses in topics such as supply chain modelling, healthcare, and Statistics and Operational Research for Government (delivered with input from the Office for National Statistics and Welsh Assembly Government).

You will have the opportunity to put the theory into practice, through case studies and project work in the ‘real-world’. An important feature of the MSc is the project dissertation, allowing you to work with an external company.


For a list of modules for the FULL-TIME route, please see website:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/operational-research,-applied-statistics-and-financial-risk-msc

For a list of the modules for the PART-TIME route, please see website:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/operational-research,-applied-statistics-and-financial-risk-msc-part-time

Teaching

The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.

You will apply the skills you develop through presentations, research assignments, case studies and the summer project.

Assessment

During the course your development will primarily be monitored via tutorial sheets, with other means where appropriate.

Written examinations, often in combination with an in-course element forms overall assessment.

Career Prospects

This programme prepares you for a career in areas such as operational research, management science, statistics, risk analysis, financial modelling, actuarial risk and credit scoring, management consultancy, business analytics, supply chain management, government operational research /statistics.

Our School of Mathematics has well established and strong links with many employers of Operational Researchers and Applied Statisticians, who regularly offer projects and/or recruit our students.

Placements

An important feature of the MSc programme is to undertake a project dissertation. This allows you to apply the methods and skills acquired in the taught programme in a real-world setting, and will typically involve working with a company on a project of importance. Some of these placements will be abroad given our strong international connections. Cardiff School of Mathematics already has well established links with many organisations that employ Operational Researchers, Statisticians and Financial Modellers including Admiral, Nationwide, ONS, Lloyds Banking Group and Ernst and Young amongst others.

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This unique Masters in Applied Statistics in Health Sciences provides an opening to a career as an applied statistician, without having previously studied statistics.

The course is run in collaboration with the Animal and Plant Health Agency (APHA), an Executive Agency of the Department for Environment, Food & Rural Affairs (Defra). Statisticians from APHA, as well as those who have extensive experience in working with the National Health Service in Scotland, will provide lectures based around real-life problems and data from the health sciences.

Although the programme is focused on health, the skill set provided will also equip you with the necessary training to work as an applied statistician in other areas such as insurance, finance and commerce.

What you'll learn

The three compulsory modules covered in Semester 1 will equip you with fundamental probability and data analysis skills. In Semester 2 there's four compulsory modules, each focusing on a different applied element of being a statistician. The course concludes with a research project which will involve the analysis of a real-life data set.

Programme skills set
On the programme you'll acquire:
-in-depth knowledge of modern statistical methods that are used to analyse and visualise real-life data sets and the experience of how to apply these methods in a professional setting
-skills in using statistical software packages that are used in government, industry and commerce
-the ability to interpret the output from statistical tests and data analyses and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem
-problem solving and high numeracy skills that are widely sought after in the commercial sector
-practical experience of statistical consultancy and how to interact with professionals who require statistical analyses of their data
-through the contacts with APHA and NHS staff, an understanding of what it's like to work as an applied statistician in practice including, for example, during disease outbreaks

Guest lectures
Several modules will be taught by academics who also work for other organisations including government and health services.

Facilities

The Department of Mathematics & Statistics has teaching rooms which provide you with access to modern teaching equipment and computing laboratories that are state-of-the-art with all necessary software available. You'll also have a common room facility, a modern and flexible area which is used for individual and group study work, and also a relaxing social space.

The Department of Mathematics & Statistics

At the heart of the Department of Mathematics & Statistics is the University’s aim of developing useful learning. We're an applied department with many links to industry and government. Most of the academic staff teaching on this course hold joint-appointments with, or are funded by, other organisations, including APHA, Public Health and Intelligence (Health Protection Scotland), Greater Glasgow and Clyde Health Board and the Marine Alliance for Science and Technology Scotland (MASTS). We bridge the gap between academia and real-life. Our research has societal impact.

Course content

Semester 1 Compulsory classes:
The three compulsory classes covered in semester 1 will equip you with fundamental probability and data analysis skills.

-Foundations of Probability & Statistics
-Data Analytics in R
-Applied Statistical Modelling

Semester 2 Compulsory classes:
Each class focuses on a different applied element of being a statistician.

-Medical Statistics
-Bayesian Spatial Statistics
-Effective Statistical Consultancy
-Risk Analysis
-Survey Design & Analysis
-Semester 3

Learning & teaching

Classes are delivered by a number of teaching methods:
-lectures (using a variety of media including electronic presentations and computer demonstrations)
-tutorials
-computer laboratories
-coursework
-projects

Teaching is student-focused, with students encouraged to take responsibility for their own learning and development. Classes are supported by web-based materials.

Assessment

The form of assessment varies for each class. For most classes the assessment involves both coursework and examinations.

How can I fund my course?

A number of scholarships are available for outstanding UK, EU and international applicants. For details, please visit our scholarship search: https://www.strath.ac.uk/studywithus/scholarships/

Scottish students:
Students living in Scotland can find out more about funding from the Student Awards Agency Scotland.

English/EU students:
Students ordinarily resident in England may be eligible to apply for a loan of up to £10,000 to cover their tuition fees and living costs. Students resident in the EU may also apply.

Careers

There are many exciting career opportunities for graduates in applied statistics. The practical, real-life skills that you'll gain means you'll be much in demand in international organisations. A report by the Association of the British Pharmaceutical Industry identified statistics and data mining as “two key areas in which a 'skills gap' is threatening the UK's biopharmaceutical industry.”

Typical employers of statisticians and data analysts include:

-Government
-Health services
-Pharmaceutical companies
-Human, animal, plant and environmental research institutes
-Insurance companies
-Banks
-Internet information providers such as Google
-Retailers

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Program overview

The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.

Plan of study

The program requires 30 credit hours and includes four core courses, five electives, and a capstone or thesis.

Core courses

There are four required core courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program.

Curriculum

Applied statistics, MS degree, typical course sequence:
First Year
-Statistical Software
-Fundamentals of Statistical Software
-Regression Analysis
-Foundations of Experimental Design
-Electives
Second Year
-Electives
-Capstone

Concentration areas

-Predictive Analytics
-Data Mining/Machine Learning
-Industrial
-Biostatistics
-Theory

Electives, capstone or thesis

Elective courses are chosen by the student with the help of their adviser. These courses are usually department courses but may include (along with transfer credits) up to 6 credit hours from other departments that are consistent with students’ professional objectives. The capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study. Students, with adviser approval, may write a thesis as their capstone.

Other admission requirements

-Have a satisfactory background in mathematics (one year of university-level calculus) and statistics (preferably two courses in probability and statistics).
-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit a current resume.
-Submit two letters of recommendation, and complete a graduate application.
-International students whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL).
-Scores from the Graduate Record Exam (GRE) are not required, however submitting scores may support the admission of an applicant who is deficient in certain admission requirements.

Additional information

Grades:
Students must attain an overall program grade-point average of 3.0 (B) for graduation.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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INTRODUCTION

The programme is designed to upgrade the analytical skills of managerial and technical personnel for their career advancement and to enhance their competence in applications of statistics. The focus is on highly sought after data analysis skills demanded by the industries. The programme provides training in the arts and science of collecting, organizing, presenting, analyzing and interpreting numerical data, and the ability to use the results for decision making and problem solving in a range of fields. The programme is practical-oriented and emphasis is given to the use of software in developing statistical skills.



ENTRY REQUIREMENT

A Bachelor degree with a minimum of CGPA 3.0 or equivalent and sufficient knowledge of mathematics or statistics.


PROGRAMME STRUCTURE



5 CORE COURSES (26 Credits)

Quantitative Research Methods
Research Project
Statistical Methods
Statistical Data Analysis
Applied Econometrics


5 OPTIONAL COURSES (at least 16 Credits)

Time Series Analysis
Computer Information Systems
Experimental Design
Biostatistics
Actuarial Statistics
Applications of Demographic Techniques
Marketing Research Techniques
Operations Research Methods
Applied Financial Econometrics
Readings in Applied Statistics
Statistical Methods for Quality Management
The Malaysian Economy
Applied Macroeconomics
Money and Finance in Economic Development


PROGRAMME DURATION

Minimum: 2 Semesters

Maximum: 8 Semesters



LANGUAGE REQUIREMENTS (For International Applicants)

Minimum TOEFL score of 550 or;

Minimum IELTS overall band score of 5.5



FEES STRUCTURE

AVERAGE FEES*

MALAYSIAN

RM 14,130.00*

INTERNATIONAL

RM 27,867.50*

*Subject to change

Career Opportunity

Graduates will be able to find careers which are related to data analysis, data mining or become software application specialist in:

- Government agencies ( Department of Statistics, LPPKN and others)
- Educational services (universities, colleges and others)
- Financial Institutions (central bank, commercial banks)
- Software companies (SPSS, SAS and others)
- Research houses (stockbroking, fund management, insurance)
- Marketing research companies (Social, media or brand research like Ipsos or Nielsen)

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Overview

The Master of Applied Statistics is designed to train graduates for employment as statisticians. Specialised study is also available in the areas of biostatistics, epidemiological methods, generalised linear models, time series and stochastic finance.

See the website http://courses.mq.edu.au/international/postgraduate/master/master-of-applied-statistics

Key benefits

- Gives you a deeper knowledge of statistics with applications for both the public and private sector
- Teaches you the applications of contemporary statistical methods and the use of the latest computational techniques: both skills are highly valued by employers
- Offers great flexibility to suit all interests and development needs

Suitable for

Students who wish to work as statisticians or students who are already working in other roles which require a deeper knowledge of statistics.

English language requirements

IELTS of 6.5 overall with minimum 6.0 in each band, or equivalent

All applicants for undergraduate or postgraduate coursework studies at Macquarie University are required to provide evidence of proficiency in English.
For more information see English Language Requirements. http://mq.edu.au/study/international/how_to_apply/english_language_requirements/

You may satisfy the English language requirements if you have completed:
- senior secondary studies equivalent to the NSW HSC
- one year of Australian or comparable tertiary study in a country of qualification

Careers

- Career Opportunities
There is a critical shortage of professionally trained statisticians in Australia. Key government agencies such as Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Australian Bureau of Statistics (ABS) employ statisticians to inform decisions, conduct research and initiate discussion. In the corporate sector, financial institutions and insurance companies require statisticians to perform operation research, manage risk and analyse data for modelling and forecasting.

Employers
- insurance companies
- financial institutions
- government departments
- medical institutions
- research organisations

See the website http://courses.mq.edu.au/international/postgraduate/master/master-of-applied-statistics

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With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Potential employers are banks and insurance companies, market research firms, as well as the industry sector, especially the pharmaceutical industry.

The master program prepares students for careers as statisticians in both the private and the public sectors. Statistical methods are used all over the world and the students of the master program gain access to the international job market. The program gives the students training for a profession as a statistician. At the same time the program prepares the student for studies at the Ph.D. level. The training covers many areas of statistical theory and practice giving opportunities to work in different fields of application of statistical methodology, although a focus of the program is on applications within the economic and social sciences. The program is particularly well suited for students interested in a career in official statistics. It is the only Swedish master program and one of twelve in total that has been certified by Eurostat (the statistical office of the European Union) to offer a European Master in Official Statistics (EMOS). The program is made up of four semesters of courses. The program starts with a course in mathematics and a course in statistical theory. During the first year students will, in addition, take two courses in econometrics, two courses on the theories and methods in the area of survey methodology and courses in computational statistics and Bayesian statistics. The third and the fourth semesters each includes two courses and one 15 credits master thesis. The students write two master theses in the program, one during the third semester and one during the fourth semester. A European Master in Official Statistics can be obtained by taking courses aimed towards official statistics during the third semester, conducting an internship at Statistics Sweden or another statistical agency during the fourth semester and writing a thesis that is relevant for the production of official statistics. After completion of the program, the student has the training needed to take a leading role in the design and implementation of statistical surveys and analyses as well as the ability to contribute to the developments of statistical methodology.

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MSc in Applied Statistics and Datamining

• Aimed at individuals with a good degree containing quantitative elements, who wish to gain statistical data analysis skills relevant to business, commerce and other applications.

• Preparation for commercial data analysis.
• A commercially relevant programme of study that has content aligned with the requirements of partners in the commercial analysis sector.

• Strongly applied bias, with an emphasis on application in the commercial sector.

• Dissertation topics are generated in part by our commercial partners.

• Teaching includes widespread commercial software packages e.g. SAS, SPSS, along with popular open-source tools e.g. R.

• Teaching consists of a mixture of short, intense courses with a large proportion of continuous assessment and more traditional lecture courses with end of semester exams.

• A graduate from this programme would be seeking employment as an analyst within a company, research body, government, or as a statistical consultant.

Features

* Opportunities to work closely, and undertake project work, within a research group.

* Access to a wide range of advanced MMath courses across the entire spectrum of Mathematics and Statistics.

* The School is well equipped with personal computers and laptops, a parallel computer and an on-site library, and has attracted substantial amounts of external funding.

Careers

Our graduates hold positions at leading universities or companies in areas as diverse as business administration, computer science and modelling, fisheries laboratories and pure mathematics. In short, a postgraduate degree in mathematics or statistics from St Andrews opens the way for a variety of careers.
Our recent graduates at Masters and Doctoral level have, amongst other things:
• Moved on to postdoctoral studies.
• Joined the academic staff of leading UK and international universities.
• Found highly-paid positions in analysing futures/finance for large consulting firms and major financial institutions, for example: Scottish and Southern Energy, RBS, Capital One, Aquila Insight, Aviva, PwC, American Express, Goldman Sachs, Tesco Bank.
• Found rewarding and challenging positions in the computer industry.
• Found academically rewarding positions and careers in government agencies, including, for example, GCHQ.
• Joined government and non-governmental organisations to advise wildlife and conservation managers, including, for example, the Wildlife Conservation Society (WCS).
• Improved their mathematics qualifications, hence enhancing their positions and prospects in the secondary and tertiary education sectors.

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While practically orientated, this postgraduate degree in applied statistics and financial modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. The mutual dependence of practice and theory is emphasised wherever possible.

The programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the use of advanced stochastic modelling techniques in the area of quantitative finance.

The programme has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.

Why study this course at Birkbeck?

Covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.
Accredited by the Royal Statistical Society - graduates are normally granted Graduate Statistician (GradStat) status.
Birkbeck brings together research and teaching across economics and finance, mathematics and statistics in a single department, which creates significant interdisciplinary synergies.
Our teaching is informed by the needs of employers and you will be taught by academics who are professional practitioners involved in the world of economics and international finance. They provide specialist advice and in-house training for government departments, City firms and banks.
Our Department houses 5 research groups, in Applied Mathematics and Finance, Econometrics and Statistical Science, Macroeconomics, Microeconomics, and Pure Mathematics, which host visiting speakers and organise seminars. The Birkbeck Centre for Applied Macroeconomics and the Commodities Finance Centre are our 2 research centres, which disseminate research, host events and house visiting academics.
You will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury. Extensive computing facilities include PCs and UNIX platforms.

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The Department of Mathematical Sciences offers a professionally oriented Master’s of Arts degree program in statistics. The lively and versatile curriculum focuses on training that is applicable in the real world, and the program aims to prepare skillful statisticians for professional careers in industry. The track includes an integral lab component that emphasizes the practice of contemporary data analysis and exposes students to methods, software and theory commonly used in applications of statistics.

The MA is designed to provide students with a solid foundation of practical knowledge to work with statistics in depth, for future careers in the public and private sectors as statistical scientists, consultants and engineers to manage and analyze data. The program requires courses specific to the area of applied statistics, and the student is required to finish 10 courses and two 1-credit capstone seminars for a total of 42 credits. An exit exam or final thesis is not required.

Driven by the ever-greater reliance of businesses and governments on data, the demand for professionals with strong quantitative analytical skills is now higher than ever. Program graduates will be trained to pursue careers in a variety of fields that require data-crunching and quantitative analysis. Well-trained statisticians and data scientists are employed in the following roles in a wide spectrum of industries:

◾statistical consultants

◾risk managers

◾insurance actuaries

◾quants (and traders)

◾production/manufacturing quality control managers

◾market researchers

◾sports statisticians

◾economists

◾biomedical, biometrics, and bioinformatics researchers

◾sociology researchers

◾psychology researchers

◾biostatisticians in pharmaceutical industry

◾government statisticians (census)

All applicants must submit the following:

- Online graduate degree application and application fee

- Transcripts from each college/university which you attended

- Three letters of recommendation

- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee

- Resume or Curriculum Vitae (max. 2 pages)

- Official GRE scores

And, for international applicants:

- International Student Financial Statement form

- Official bank statement/proof of support

- Official TOEFL, IELTS, or PTE Academic scores

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Statistics facilitates vital decision-making where there would otherwise be uncertainty. Social policy, medical practice and engineering all rely substantially on statistics and their correct use and interpretation. In these instances, their impact can be life-saving.

Statisticians work in many fields, from government to market research, measuring anything from changes in the environment revealing the effects of global warming, to the effectiveness of medicines. There are a large number of employment opportunities for our graduates in medical statistics, medical research, commerce and industry, particularly the pharmaceutical industry; as well as career opportunities both in areas directly related to statistics, such as accountancy, and wider afield in areas like computing, environmental science and law.

Our practically-orientated course gives you the skills employers are looking for – not just in terms of statistical knowledge, but transferable skills which will be useful whatever field you decide to work in. There is a shortage of well-qualified statisticians across the scientific, industrial and public sectors and a great demand for data analysts and statistical consultants, which our course has been specifically designed to meet.

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