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Masters Degrees (Educational Statistics)

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When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world will be your instructors. Read more
When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world will be your instructors. Studies in this Master’s programme will give you a solid basis for maths and statistics applications. Graduates of this Master’s programme find employment as researchers, teachers, and in demanding expert posts in the public and private sectors in Finland and abroad.

The Master’s programme in mathematics and statistics is based on top research. The teaching within the sub-programmes at the University of Helsinki follows a high standard and is highly valued, not just within Finnish academia but in global university rankings. Upon graduating from this Master’s programme, you will:
-Be an expert in the methods of mathematics or statistics.
-Have mastered the basics of another scientific discipline.
-Be able to apply scientific knowledge and methods.
-Be able to follow developments in mathematics and statistics.
-Know how to think critically, argue a point, and solve problems.
-Have excellent interaction skills and be assertive and creative.
-Understand the principles of ethical and sustainable development.
-Be well prepared to work as an expert and developer in your field.
-Be prepared for scientific postgraduate studies.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees.

Programme Contents

The Master’s programme consists of courses in mathematics, applied mathematics, and statistics. The courses include group and lecture instruction, exercises, literature, and workshops. Most courses also include exams or project assignments. In addition, you can complete some courses independently, by taking literature-based exams. The instructors in this programme have received prizes for their high standard of teaching. The teaching methods used in the subjects in this Master's programme have been widely recognised in the media.

Selection of the Major

The specialisation subjects within the programme are:
-Analysis
-Mathematical physics and stocastics
-Applied analysis
-Computational science
-Mathematical logic
-Mathematical modelling
-Insurance and financial mathematics
-Algebra and topology
-Statistics
-European Master in Official Statistics, EMOS (based on the statistics education in the Faculty of Social Sciences).

You will select your specialisation subject during your first year.

Programme Structure

The Master’s programme comprises 120 credits, which you can complete in two years. The degree in mathematics includes:
-85 credits of advanced courses, including the Master’s thesis (Pro gradu, 30 credits).
-35 credits of other courses from your own or other programmes.
-Working-life orientation and career planning.
-Personal study plan.

The degree in statistics includes:
-25 credits of advanced mathematics courses.
-60 credits of advanced statistics courses, including the Master’s thesis (Pro gradu, 30 credits).
-35 credits of other courses e.g. more advanced courses in statistics, or intermediate courses in some other subject, in which you included basic courses in your BSc degree, or, module/s from other university programmes.
-Working-life orientation and career planning.
-Personal study plan.

The European Master in Official Statistics sub-programme includes:
-85 credits of advanced courses in statistics or mathematics, including the Master’s thesis (Pro gradu, 30 credits) and a traineeship.
-35 credits of other courses from your own or other programmes.
-Working-life orientation and career planning.
-Personal study plan.

Career Prospects

Graduates of the Master’s programme can find employment outside the university or continue with one of the doctoral programmes in mathematics and statistics. The Master’s programme will give you excellent capabilities for work in the public or private sector as an expert in mathematics and statistics, skills that are very sought after in the job market both in Finland and abroad. The banking, investment, and insurance fields, for instance, value mathematicians and statisticians very highly internationally. Many of our graduates work in research and development or as teachers in various educational institutions. Graduates from this programme have excellent chances to find employment corresponding to their education.

Internationalization

The international nature of the programme is implemented in many ways:
-Research within the disciplines of the degree programme is of high international standard and is highly regarded.
-Teaching staff and research collaboration within the programme are international.
-The atmosphere of the programme is international, several international students are admitted each year.
-Theses and projects may be completed within international projects.
-There are opportunities for a student exchange period in many foreign universities.

Research Focus

The research focus within the disciplines in the degree programme are e.g.
-Geometric analysis and measurement theory
-Analysis in metric spaces
-Partial differential equations
-Functional analysis
-Harmonic analysis
-Mathematical physics
-Stochastics
-Inversion problems
-Mathematical logic and set theory
-Biomathematics
-Time series analysis
-Biometry
-Econometry
-Psychometrics
-Social statistics

The programme is part of the Analyysin ja dynamiikan (Analysis and dynamics) and the Inversio-ongelmien (Inversion problems) centres of excellence.

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How can we use research evidence to inform educational practice? What factors at the macro, meso and micro levels of the educational system determine the success of educational interventions?. Read more
How can we use research evidence to inform educational practice? What factors at the macro, meso and micro levels of the educational system determine the success of educational interventions?

The Master's track 'Evidence-Based Education' aims to provide students with a thorough understanding of how educational research can contribute to the development of effective educational innovations and to the improvement of the quality of education. We strive for education that promotes the academic, meta-cognitive, socio-emotional and behavioral outcomes of all students, regardless of their background characteristics and learning abilities. Stable educational improvement can only occur if there is a solid knowledge base to feed educational practice, from macro (e.g., policy), meso (e.g., school organization) to micro levels (e.g., classroom processes). Bridging the gap between research and educational practice requires graduates that can understand, assess and generate solid evidence, and can translate these insights into educational initiatives that are fully responsive to the societal issues and contexts in which they are embedded.

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Admission to this program is a competitive process, with candidates (students) admitted in cohorts. Visit the website http://education.ua.edu/academics/elpts/edle/ma/. Read more
Admission to this program is a competitive process, with candidates (students) admitted in cohorts.

Visit the website http://education.ua.edu/academics/elpts/edle/ma/

Application Process

Visit the UA Graduate School website where you will:

- Complete the online application http://graduate.ua.edu/application.

- Submit official GRE or MAT scores.

- Submit official transcripts from all previous post-secondary institutions attended.

- Submit a statement of purpose.

- Submit 3 letters of recommendation (one from your principal or supervisor).

Due Date for Applications

Applications for admission will be due in the Department of Educational Leadership, Policy & Technology Studies by April 1 for entry into a cohort that will begin the program in the subsequent summer. All applications for entry into a cohort that will begin in the spring are due November 1, and all applications for entry into a cohort that will begin the subsequent fall will be due in the Department of Educational Leadership, Policy & Technology Studies by July 1. All applicants for this program must provide a Supplemental EXP completed by their current and/or previous school system(s) verifying at least three full years of full-time, acceptable professional educational experience including at least one full year of full–time P-12 teaching experience. The original notarized form(s) should be sent to:

Dawn Bryant
Student Services & Certification
College of Education
The University of Alabama
Box 870321
Tuscaloosa, Al, 35487-0231

Portfolio

In addition to the general application materials required by the University of Alabama Graduate School and the Department of Educational Leadership, Policy & Technology Studies, applicants must construct an application portfolio, as required by Ala. Admin. Code §290-3-3-.48(1)(b). For entry into a cohort beginning in the Summer Term, the application portfolio is due in the Department by April 1. For entry into a cohort beginning in the Spring Term, the application portfolio is due in the Department by November 1. For entry into a cohort beginning in the Fall Term, the application portfolio is due in the Department by July 1.

The application portfolio must contain the following items:

- Three letters of recommendation, including one from the applicant’s principal or supervisor;

- Completed copy (all forms) of most recent performance appraisal to include the professional development component if available;

- Evidence of ability to improve student achievement;

- Evidence of leadership and management potential including evidence of most recent accomplishments in the area of educational leadership;

- Summary statement of applicant’s reasons for pursuing instructional leadership certification;

- Summary statement of what the applicant expects from the program; and,

- The applicant’s vitae.

Items should be placed in a large envelope in the order of the above list, have divider pages between items, and mailed to Vanessa Williams, The University of Alabama, Box 870302, Tuscaloosa, Alabama 35487-0302 or hand-delivered to 301 Graves Hall (main campus) or to the UA Gadsden Center.

Assessment Center

The purpose of the Assessment Center is to first fulfill the regulatory requirement of a face-to-face interview with each applicant. The Assessment Center will also include other activities designed to provide additional information, particularly with respect to candidate dispositions and candidate writing skills, to adequately assess candidate aptitude for instructional leadership.

Scheduled Assessment Centers appear below. Candidates electing to participate in an Assessment Center at the Gadsden Center should contact Dr. Brenda Mendiola ().

Cohort Numbers

Cohorts will be limited to twenty-five participants at two locations: Tuscaloosa (main campus) and at the UA Gadsden Center. Additional cohorts will be admitted at either location, if there are sufficient eligible candidates and available faculty members.

Program of Study

The program of study for the Master of Arts Degree in Educational Leadership, leading to initial certification in Alabama for Instructional Leadership, will be composed of thirty (30) semester hours of coursework, including the following courses:

AEL 520: Leadership for Communities and Stakeholders (3 semester hours)
AEL 521: Leadership for Continuous Improvement (3 semester hours)
AEL 522: Leadership for Teaching and Learning (3 semester hours)
AEL 523: Human Resource Development (3 semester hours)
AEL 524: Ethics and Law (3 semester hours)
AEL 525: Management of Learning Organizations (3 semester hours)
AEL 526: Data-Informed Decision-Making (3 semester hours)
AEL 527: Internship in Instructional Leadership (3 semester hours)
BER 540: Quantitative Research; Statistics (3 semester hours)
BEF graduate-level Foundations Course from approved list (3 semester hours)
Total: 30 semester hours for Masters Degree in Educational Leadership

*Note: To receive certification at the “A” level, students are also required to have taken a special education survey course (SPE 300 or SPE 500 or the equivalent). If students have taken a special education survey course as part of the requirements for an earlier certificate, it will not have to be taken again. If students have not taken a special education survey course for an earlier certificate, SPE 500 must be taken in addition to the 30 semester hours detailed above.

Field experience objectives, including progression from observation through participation to leading behaviors, will be embedded in each course and assessed by the faculty member of record for each course. Throughout this program, instructional activities are aligned with instructional objectives. The faculty member of record has the responsibility of assigning the LiveText assessment (1, 2, 3, 4) for each objective, and instructional activities will also generate documentation for the electronic portfolio aspect of LiveText, which will append to the assessment ratings.

Find out how to apply here - http://graduate.ua.edu/prospects/application/

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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. Read more
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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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. Read more

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 aims to provide 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 including banking, business, economics, health, population studies and social sciences. The programme is practical-oriented and emphasis is given to the use of software in developing statistical skills.

Benefits

The technical nature of this degree will enable the Graduates to be exposed to frontier knowledge in biostatistics, demographics, marketing research, time series analysis, financial econometrics and operation research. In addition to prepare the Graduates to build careers which are related to statistical application in software companies, survey companies, research houses, financial institutions, fund management, central banking and bureau of statistics, the Graduates will also find themselves equipped with the foundation to pursue higher degree at doctoral level.

Visit the website http://fep.um.edu.my/student/postgraduate/mappstats

Language Requirement

International applicants who have not received a bachelor's degree from an institution in which the language of instruction is English must show proof of a minimum standard of proficiency in English. The minimum English language requirement for purposes of admission is:

(a) a score of 550 for paper-based total or 213 for computer-based total for the Test of English as a Foreign Language (TOEFL); or
(b) a band of 6 for the International English Testing System (IELTS).

Structure of Programme

Candidates of this programme are required to take four (4) Core Courses. For the Optional Courses, candidates may choose to take eight (8) courses, or, five (5) courses together with one (1) Research Paper. The courses are:

Core Courses:

- ESGC6120 Statistical Methods
- ESGC6121 Survey Techniques and Sampling Design
- ESGC6122 Experimental Design
- ESGC6123 Statistical Data Analysis

Optional Courses:

ESGC6113 Computer Information Systems
ESGC6115 Time Series Analysis
ESGC6181 Research Paper
ESGC6316 Biostatistics
ESGC6317 Actuarial Statistics
ESGC6318 Applications of Demographic Techniques
ESGC6319 Marketing Research Techniques
ESGC6322 Operations Research Methods
ESGC6328 Applied Financial Econometrics
ESGC6355 Readings In Applied Statistics
ESGC6356 Applied Econometrics
EXGA6112 The Malaysian Economy
EXGA6113 Financial Markets & Institutions
EXGA6122 Philosophy and Methodology of Research
EXGA6303 Applied Macroeconomics
EXGA6304 Money and Finance in Economic Development

Duration of Programme

The minimum period of study is 3 semesters and the maximum period of study is 8 semesters. Each academic year consists of two semesters, commencing in September (Semester I) and February (Semester II) of each year.

Programme by Dissertation

The Faculty also offers the Master of Applied Statistics programme fully by dissertation. This programme is only open to graduates with exceptionally good qualifications (First Class Honours or CGPA of at least 3.7), and has experience in academic writing (proof of publication is necessary). This programme requires students to submit a dissertation of not exceeding 60,000 words at the end of the programme. In addition, the Faculty may set as a requirement for a candidate to follow prescribed courses. Those interested in the programme is advised to contact the Faculty for further details.

Programme Brochure - http://www.fep.um.edu.my/images/fep/postgraduate/broucher%20MAS%202015.pdf

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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If you are interested in the possibility of a research degree (PhD or Research Masters) in the School of Mathematical Sciences, we encourage you to become familiar with the range of research activity and expertise in the School. Read more
If you are interested in the possibility of a research degree (PhD or Research Masters) in the School of Mathematical Sciences, we encourage you to become familiar with the range of research activity and expertise in the School. In particular, we would encourage you to approach or contact members of the academic staff whose research area may be of particular interest.

The research of the School covers a wide range of areas including:

Analysis (Infinite-dimensional analysis, Functional Analysis, Potential Theory)
Algebra (Matrix Theory, K-theory, Quadratic and Hermitian Forms)
Discrete Mathematics (Coding, Cryptography, Number Theory)
Applied Mathematics (Fluid Dynamics, Computational Science, Meteorology, Biomathematics, Information Theory)
Theoretical Physics (Astrophysics, General Relativity, Quantum Gravity, Statistical Mechanics, Quantum Field Theory)
Statistics (Bayesian Statistics, Pharmaceutical, Medical and Educational Statistics, Environmental and ecological modelling, Epidemiology, Econometrics).

Please see our School Website for more details:
http://www.ucd.ie/mathstat

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This programme offers a comprehensive research training in developmental and educational psychology. It is recognised by the Economic and Social Research Council and can lead to further study at doctoral level. Read more
This programme offers a comprehensive research training in developmental and educational psychology. It is recognised by the Economic and Social Research Council and can lead to further study at doctoral level.

Degree information

Students will develop in-depth knowledge of specialised research skills, and be able to use a broad range of methods to critically appraise and conduct rigorous research in the field. Students learn how to assess the contribution of psychology to policy goals and how to evaluate education policies.

Students undertake modules to the value of 180 credits. The programme consists of two core modules (60 credits), two optional modules (60 credits) and a dissertation (60 credits).

Core modules
-Methodology and Statistics
-Qualitative Data Analysis

Optional modules
-Development Psychology (30 credits) OR Personality and Social Psychology (30 credits) OR Cognitive Development and Learning (30 credits)
-Social Development (30 credits) OR Core Topics in Psychology of Education (30 credits)

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
This programme is delivered through a combination of lectures by UCL Institute of Education academic staff and guest speakers, group work, discussion, and computer workshops giving hands-on practice. Assessment is through coursework examination. Coursework involves small exercices conducted throughout the module, critiques of set research articles and extended pieces of writing on set topics and the dissertation.

Careers

Graduates of this programme are currently working as researchers in the public and private sectors or are engaged in PhD study.

Top career destinations for this degree:
-Trainee Work Psychologist, Jobcentre Plus
-Family Support Worker, Action for Children
-Assistant Psychologist, Universitas Gadjah Mada (Gadjah Mada University)
-Special Support Assistant, St. Anthony's School

Employability
This programme provides valuable preparation either for doctoral study or for a research career in the academic community, the public sector or in industry.

Why study this degree at UCL?

UCL Institute of Education (IOE) is one of the world's leading centres for education and related areas of social science - students learn from leading researchers in the field. For the third year in succession the IOE has been ranked as the world's leading university for Education (QS World University Rankings 2016). Our alumni include government ministers; heads of schools, other educational institutions and NGOs; Olympians; and prize-winning authors.

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The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. Read more

Mission and goals

The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. It harmonises a solid scientific background with a command of advanced methodologies and technologies. The programme is characterised by a continuous synergy between Applied Mathematics and Engineering disciplines- The students may choose among three specialisations:
- Computational Science and Engineering
- Applied Statistics
- Quantitative Finance

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Career opportunities

The professional opportunities offered by this course are rather ample and varied: engineering consultancy companies that deal with complex computational problems; manufacturing or civil engineering companies where analyses based on the use of advanced mathematical tools are needed; banks, insurance companies and financial institutions making use of quantitative finance for risk analysis or forecast; companies that require statistical interpretation and the processing of complex data, or the simulation of different scenarios; public and private research institutes and laboratories.

Eligible students

Students holding a Bachelor degree in Mathematical Engineering, or in a related area with a solid background in the core disciplines of the programme, i.e. Applied Mathematics, Computer Science, Applied Physics or other Engineering disciplines are eligible for application. In particular, eligible students' past studies must include courses in different areas of Engineering (among Informatics, Economics & Business Organization, Electrotechnics, Automation, Electronics, Applied Physics, Civil Engineering) for at least 25% of the overall courses, as well as courses in different areas of Mathematics (Mathematical Analysis, Linear Algebra, Geometry, Probability, Statistics, Numerical Analysis, Optimization) for at least 33% of the overall courses.
The following tracks are available:
1. Computational Science and Engineering
2. Applied Statistics
3. Quantitative Finance

Eligible students must clearly specify the track they are applying for in their motivation letter.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Mathematical_Engineering.pdf
The Master of Science in Mathematical Engineering (MSME) aims to form an innovative and flexible professional profile, endowed with a wide spectrum of basic scientific notions and engineering principles, together with a deep knowledge of modern pure and applied mathematical techniques. MSME is characterized by a continuous synergy between Mathematics and Engineering methods, oriented to the modelling, analysis and solution of complex planning, control and management problems, and provides the students with the possibility to face problems from various scientific, financial and/or technological areas. The MSME graduates can find employment in Engineering companies specialized in handling complex computational problems, requiring a multidisciplinary knowledge; in companies manufacturing industrial goods for which design analysis based on the use of advanced mathematical procedures are required; in service societies, banks, insurance companies, finance or consultant agencies for the statistical interpretation and the simulation of complex situations related to the analysis of large number of data (e.g. management and optimization of services, data mining, information retrieval) or for handling financial products and risk management; in public and private institutions. The programme is taught in English.

Subjects

Three main tracks available:
1. Computational Science for Engineering
Real and functional analysis; algorithms and parallel programming; numerical and theoretical analysis for partial differential equations; fluid mechanics; computational fluid dynamics advanced programming techniques for scientific computing;

2. Statistics
Real and functional analysis; algorithms and parallel programming; stochastic dynamical models; applied statistics, model identification and data analysis; Bayesian statistics

3. Mathematical Finance
Real and functional analysis; algorithms and parallel programming; stochastic differential equations; mathematical finance; financial engineering; model identification and data analysis.

In the motivation letter the student must clearly specify the track he/she is applying for.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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The Psychology of Education MSc will introduce students to key theoretical issues in the psychology of education, critically analysing psychological theory and research, and exploring its contribution to educational issues and practice. Read more
The Psychology of Education MSc will introduce students to key theoretical issues in the psychology of education, critically analysing psychological theory and research, and exploring its contribution to educational issues and practice. It is intended for people who wish to gain Graduate Basis of Certified Status so that they can proceed to professional training as an educational or other psychologist.

Degree information

This programme aims to equip students to develop understanding of the current issues in the psychology of education and provide them with an opportunity to engage in research. On successful completion of the programme students should be able to produce and communicate reasoned and informed argument, both in writing and orally. Students will also be able to critically evaluate theory and evidence in psychology.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (60 credits), two optional modules (60 credits) and a dissertation (60 credits).

Core modules
-Core Topics in the Psychology of Education
-Methodology and Statistics

Optional modules
-Cognitive Development and Learning or Personality and Social Psychology

Students choose one module from the following:
-Atypical Development
-Developmental Psychology and Psychobiology
-Issues in Educational Neuroscience
-Language Development
-Literacy Development
-Psychological Aspects of Counselling
-Reading and Spelling Difficulties
-Social Development

Dissertation/report
All students undertake an independent research project which culminates in a dissertation.

Teaching and learning
The programme is delivered through a combination of lectures, including guest speakers, student preparation of tasks and longer presentations, group work, discussion, and computer workshops giving hands-on practice. Assessment is through coursework and one unseen examination. Coursework can involve small exercices, critiques of set research articles and extended pieces of writing on set topics.

Careers

Graduates of this Master's degree are currently working as:
-PhD students
-Researchers in the public and private sectors
-Clinical and educational doctorate students.

Top career destinations for this degree:
-Secondary School Head of Year, Unspecified London Borough
-Secondary School Teacher (A level Pyschology, Health and Society, Unspecified Secondary School
-Secondary School Teacher, Unspecified Catholic School and Sixth Form
-Special Educational Needs (SEN) Teaching Assistant, Unspecified Academy
-University Liaison Officer, Overseas Students Service Centre (OSSC)

Employability
This programme offers a comprehensive research training in developmental and educational psychology. It provides a good grounding for doctoral study and valuable preparation for a research career in the academic community, the public sector or in industry.

Why study this degree at UCL?

UCL Institute of Education (IOE) is one of the world's leading centres for education and related areas of social science - students learn from cutting-edge researchers in the field. For the third year in succession the UCL Institute of Education (IOE) has been ranked as the world's leading university for Education (QS World University Rankings 2016). Our alumni include government ministers; heads of schools, other educational institutions and NGOs; and Olympians and prize-winning authors.

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The graduate programs in Measurement, Evaluation, and Research Methodology emphasize diverse perspectives in these core areas. - Measurement—educational assessment, psychological measurement, construction & use of standardized tests, item response theory, cross-cultural assessment. Read more
The graduate programs in Measurement, Evaluation, and Research Methodology emphasize diverse perspectives in these core areas:
- Measurement—educational assessment, psychological measurement, construction & use of standardized tests, item response theory, cross-cultural assessment
- Evaluation—program evaluation, curriculum evaluation across the educational spectrum
- Research Methodology—quasi-experimental, hierarchical or multi-level models, analysis of growth & change, dialectics, qualitative approaches

We prepare graduate students as methodological and measurement specialists. The programs emphasize advanced research as applied to educational, psychological, health, and social contexts.

Measurement, evaluation and research methodology is an evolving field that is trans-disciplinary by nature and is at the core of many of the research activities in the Department of Educational and Counselling Psychology, and Special Education, the Faculty of Education, and in many of the human and health sciences in the University. MERM classes are in high demand by students from across the Faculty of Education, including Human Kinetics, as well as Commerce, Dentistry, Forestry, Health Studies, Nursing, Psychology, and Social Work.

Quick Facts

- Degree: Master of Arts
- Specialization: Measurement, Evaluation and Research Methodology
- Subject: Education
- Mode of delivery: On campus
- Program components: Coursework + Thesis required
- Faculty: Faculty of Education

Program Overview

The graduate program in Measurement, Evaluation, and Research Methodology (MERM) offers Ph.D., M.A., and M.Ed. degrees. The MERM area focuses on the preparation of graduate students to be methodological and measurement specialists. We strive to promote in our research, student supervision, and teaching the highest standards of measurement and research methodology in our discipline. Upon degree completion, our master's and Ph.D. students are employed as university faculty, data analysts, research scientists, test developers, directors of research in school districts or government, research consultants, assessment and testing specialists in business, industry, and education, certification and credentialing professionals, and psychometricians at research and testing organizations.

MERM students generally fit into one of three categories:
1. Students who have an applied interest in educational and psychological measurement, program evaluation, or data analysis. Although they may have some preparation in measurement and data analysis in their undergraduate studies, this is not always the case. These students are more oriented toward the use of measurement, program evaluation, or data analysis techniques in fields such as education, psychology, or health.

2. Students who have strong theoretical interests in technical problems related to areas such as test theory, item response theory, assessment, statistics, factor analysis, and multi-level modeling. Although some of these students come to the Program with some statistical and/or mathematical background, often obtained while studying in another social science discipline such as psychology or sociology, other students arrive with degrees in statistics or mathematics as well.
3. Students who find it compatible with their career goals to give equal attention to both applied and theoretical aspects of this program.

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The graduate programs in Measurement, Evaluation, and Research Methodology emphasize diverse perspectives in these core areas. - Measurement—educational assessment, psychological measurement, construction & use of standardized tests, item response theory, cross-cultural assessment. Read more
The graduate programs in Measurement, Evaluation, and Research Methodology emphasize diverse perspectives in these core areas:
- Measurement—educational assessment, psychological measurement, construction & use of standardized tests, item response theory, cross-cultural assessment
- Evaluation—program evaluation, curriculum evaluation across the educational spectrum
- Research Methodology—quasi-experimental, hierarchical or multi-level models, analysis of growth & change, dialectics, qualitative approaches

We prepare graduate students as methodological and measurement specialists. The programs emphasize advanced research as applied to educational, psychological, health, and social contexts.

Measurement, evaluation and research methodology is an evolving field that is trans-disciplinary by nature and is at the core of many of the research activities in the Department of Educational and Counselling Psychology, and Special Education, the Faculty of Education, and in many of the human and health sciences in the University. MERM classes are in high demand by students from across the Faculty of Education, including Human Kinetics, as well as Commerce, Dentistry, Forestry, Health Studies, Nursing, Psychology, and Social Work.

Quick Facts

- Degree: Master of Education
- Specialization: Measurement, Evaluation and Research Methodology
- Subject: Education
- Mode of delivery: On campus
- Program components: Coursework + Major Project/Essay required
- Faculty: Faculty of Education

Program Overview

The graduate program in Measurement, Evaluation, and Research Methodology (MERM) offers Ph.D., M.A., and M.Ed. degrees. The MERM area focuses on the preparation of graduate students to be methodological and measurement specialists. We strive to promote in our research, student supervision, and teaching the highest standards of measurement and research methodology in our discipline. Upon degree completion, our master's and Ph.D. students are employed as university faculty, data analysts, research scientists, test developers, directors of research in school districts or government, research consultants, assessment and testing specialists in business, industry, and education, certification and credentialing professionals, and psychometricians at research and testing organizations.

MERM students generally fit into one of three categories:
1. Students who have an applied interest in educational and psychological measurement, program evaluation, or data analysis. Although they may have some preparation in measurement and data analysis in their undergraduate studies, this is not always the case. These students are more oriented toward the use of measurement, program evaluation, or data analysis techniques in fields such as education, psychology, or health.
2. Students who have strong theoretical interests in technical problems related to areas such as test theory, item response theory, assessment, statistics, factor analysis, and multi-level modeling. Although some of these students come to the Program with some statistical and/or mathematical background, often obtained while studying in another social science discipline such as psychology or sociology, other students arrive with degrees in statistics or mathematics as well.
3. Students who find it compatible with their career goals to give equal attention to both applied and theoretical aspects of this program.

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Are you a maths teacher wanting to develop your subject knowledge alongside studying at level 7? This online programme builds on CPD provided by Mathematics, Education and Industry (MEI) to support your classroom teaching through a deep consideration of the educational issues surrounding A level and further level mathematics. Read more
Are you a maths teacher wanting to develop your subject knowledge alongside studying at level 7? This online programme builds on CPD provided by Mathematics, Education and Industry (MEI) to support your classroom teaching through a deep consideration of the educational issues surrounding A level and further level mathematics. Ideal for those wanting to take their post-16 mathematics teaching further.

Careers with this subject

This programme is for practising mathematics teachers (or those with experience of teaching) at post-16 level. It can be taken over 1 or 2 years part time and will support your career development by providing expertise in teaching at this level and a theoretical base which will make you more able and confident to manage educational decision making.

Key features

-Taught in collaboration with MEI.
-Taught online using a virtual learning environment, then supporting you individually through tutorial work by phone or video conference, the programme becomes open to anyone.
-Practice-focused assignments which help you to theorise practice and practise your theorisation.
-Based on the professional experience of MEI staff and the academic expertise of Plymouth University’s Institute of Education.
-Starting with MEI’s CPD course (not part of the programme) to support your mathematics and pedagogy, the programme builds on Plymouth Institute of Education’s extensive expertise in supporting teaching and learning through study at level 7.
-Focused on your interests and needs, the programme provides a well-tailored, professionally useful, but also academically rigorous experience for mathematics educators.
-Comprises two modules (30 credits each), on completion there is an option to continue studying towards a full masters award (180 credits).
-Introduced at a time when new curriculum provision is changing the requirements on post-16 mathematics teachers, particularly in terms of teaching mechanics and statistics.

Course details

The programme can be taken over one or two years part-time. You complete two modules from the following:
-Teaching Further Mathematics 1
-Teaching Further Mathematics 2
-Teaching Mechanics 1
-Teaching Mechanics 2
-Teaching Statistics 1
-Teaching Statistics 2
-Teaching Advanced Mathematics (TAM is a one year course and has special arrangements associated with it – ask for details).

Optional modules
-METM701 Teaching Advanced Mathematics 1
-METM702 Teaching Advanced Mathematics 2
-METM704 Teaching Further Mathematics 2
-METM706 Teaching A-level Mechanics 2
-METM708 Teaching Statistics 2
-METM703 Teaching Further Mathematics 1
-METM705 Teaching A-level Mechanics 1
-METM707 Teaching Statistics 1

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The course will be offered in three modes. -Full-time study in Manchester lasting 12 months. -Part-time study in Manchester which normally lasts around 27 months. Read more
The course will be offered in three modes:

-Full-time study in Manchester lasting 12 months
-Part-time study in Manchester which normally lasts around 27 months
-Part-time study at a distance, by e-learning over two or three years

All three modes start in September each year. The deadline for applications is 31st August 2017; later applications are considered at our discretion. Please note that we receive a very high number of applications so the course may be closed to new applications before the final deadline given.

Aims

-Further your career by improving your skills and knowledge base in the area of digital technologies and communication, in order that these can be applied in any educational setting.
-Enhance your interpersonal and group communications skills in order to learn independently and make effective decisions through self-reflection on your own practice.
-Develop the ability to design your own educational materials using digital technologies and in particular to develop creative and innovative approaches to this work.
-Build your confidence and ability to identify and critically evaluate the use of digital technologies, whether in formal educational settings or the informal educational processes of society, and with specific reference to your own needs and practice.
-Develop your ability to systematically understand and critically evaluate research and research methodologies relevant to digital technologies in education, and apply this knowledge in actual research projects.
-Develop an ability to manage and understand rapid technological change and its effect on educational processes, institutions and policies.

Teaching and learning

Formalised lectures are rare. Instead, classes tend to mix lecturer input with group work, computer and video activities, simulations, problem-based learning and class discussions. We make considerable use of enquiry-based learning (EBL), encouraging students' critical reflection on their own practice and beliefs: formed both by their professional experiences and intuitions, and theory and research. We encourage both individual and co-operative learning and research and hope to foster an ethos of life-long-learning. As most of our participants are themselves experienced teachers, we appreciate the wealth of knowledge and practical experience that they bring to the course and we encourage all participants to use all sources of professional insights including their fellow participants. We provide training in the use of electronic databases, library resources, and computer based statistics packages. Many other key skills will be developed during the course.

Career opportunities

Graduates from the course can follow a number of career paths: some continue to work in their existing posts, but often with enhanced status; some move into teacher education, materials development, publishing, the media, managing self-access facilities, testing and assessment, research; some set up their own businesses. Alternatively, graduates may use the programme as a springboard into further study, eventually leading to a PhD.

For example, we quote one student who previously studied on this course:
"I was employed with my Master's degree at the Arab Open University. It is a non-profit Higher Education Institution established mainly to enable those who missed the chance of attending the University to pursue their higher education through distance learning. I I've planned two modules for this semester. One is Education and ICT, the other is Using Computer Software in Education. I'm using the best that I have experienced in Manchester to construct stimulating courses."

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The Education (Psychology) MA will introduce students to key theoretical issues in the psychology of education, critical analysis of psychological theory and research and its contribution to educational issues and practice. Read more
The Education (Psychology) MA will introduce students to key theoretical issues in the psychology of education, critical analysis of psychological theory and research and its contribution to educational issues and practice. It will develop students' understanding of research processes and give them the opportunity to undertake research in psychology of education.

Degree information

Students develop understanding of the current issues in the psychology of education and have opportunity to engage in research. On successful completion of the programme students should be able to produce and communicate reasoned and informed argument, both in writing and orally. Students will also be able to critically evaluate theory and evidence in psychology.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (60 credits), two optional modules (60 credits) and a dissertation (60 credits), or three optional modules (90 credits) and a report (30 credits).

Core modules
-Core Topics in the Psychology of Education
-Methodology and Statistics

Optional modules - students choose two optional modules either from the list below and/or from the wide range of Master's-level modules across the IOE offering:
-Atypical Development
-Cognitive Development and Learning
-Development Psychology and Psychobiology
-Issues in Educational Neuroscience
-Language Development
-Literacy Development
-Personality and Social Psychology in Education
-Psychological Aspects of Counselling
-Reading and Spelling Difficulties
-Social Development

Dissertation/report
All students undertake an independent research project which culminates either in a dissertation of 10,000-12,000 words or a report of 6,000-7,000 words.

Teaching and learning
The programme is delivered through a combination of lectures given by both IOE academic staff and guest speakers, student preparation of tasks and longer presentations, group work, discussion, computer workshops giving hands-on practice. Assessment is through coursework and one two-hour unseen examination. Coursework can involve small exercises, critiques of set research articles and extended pieces of writing on set topics, and the dissertation.

Careers

Graduates of this Master's degree are currently working as professionals in educational settings, teachers and PhD students.

Employability
This programme offers a comprehensive research training in educational psychology. It provides a good grounding for doctoral study and valuable preparation for a research career in the academic community, the public sector or in industry.

Why study this degree at UCL?

UCL Institute of Education (IOE) is one of the world's leading centres for education and related areas of social science - students will learn from cutting-edge researchers in the field. For the third year in succession the IOE has been ranked as the world's leading university for Education (QS World University Rankings 2016).

Our alumni include government ministers; heads of schools; other educational institutions and NGOs; and Olympians and prize-winning authors.

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All Counselor Education Master’s degree programs have a planned program of study. The plan follows the appropriate requirements for accreditation in that area. Read more
All Counselor Education Master’s degree programs have a planned program of study. The plan follows the appropriate requirements for accreditation in that area. Once an academic advisor has been assigned for your program of study, you should make an appointment to discuss your preferences and career aspirations. The program of study that you accept when you enter the program will be the one you will follow until you graduate. If there are any changes, they need to be approved by your advisor.

Visit the website http://education.ua.edu/academics/esprmc/counseling/macmhc/

The master’s degree in Clinical Mental Health Counseling is designed to prepare students for employment and practice in public and private mental-health settings. The curriculum offers course work and applied experiences for students’ specialty interests to include areas such couple/family counseling, addictions counseling, play therapy, and similar specialty practice with unique populations or using unique methods of counseling. The clinical mental health counseling program is 60 credit hours and meets accreditation criteria put forward by Council for Accreditation of Counseling and Related Educational Programs (CACREP).

Clinical Mental Health Counseling Program: Select Courses

While the majority of your courses will be offered through the Program in Counselor Education (designated as BCE) many required courses will be offered by affiliated programs. During your academic career, you will likely enroll for courses in Educational Psychology (designated as BEP), Educational Research (designated as BER), School Psychology (designated as BSP), and other areas. These courses afford the opportunity to take advantage of the expertise of faculty in other programs in the College of Education. Please refer to the Program Planning Record for Clinical Mental Health Counseling.

BCE 512 – Counseling: Theory and Process. Three hours. Introduction to counseling, counseling theories, and the counseling relationship; and an overview of the counseling process.

BCE 513 – Career Development. Three hours. An introduction for counselors and teachers to career development concepts, labor force information, and other resources needed to help persons with career planning and decision making.

BCE 514 – Counseling Skills. Three hours. An experiential course involving applied elements of theoretical models and customary helping skills to orient and prepare students for their initial supervised work with counseling clients.

BCE 515 – Practicum in Counseling I. Three hours. Prerequisite: BCE 514 and permission of the faculty. Laboratory training in attending, listening, and influencing skills. Supervised experience in counseling.

BCE 516 – Practicum in Counseling II. Three hours. Prerequisites: BCE 515 and permission of the faculty. Supervised practice in counseling.

BCE 518 – Introduction to Clinical Mental Health Counseling. Three hours. Seminar and fieldwork designed to acquaint the student with the functions and roles of the counselor in various community and agency settings.

BCE 521 – Group Procedures in Counseling and Guidance. Three hours. Prerequisite: Permission of the faculty. Background in group methods, including group guidance, group counseling, and group dynamics. One-half of class time is spent in a laboratory experience during which each student is provided an opportunity to function in a group.

BCE 522 – Individual and Group Appraisal. Three hours. Prerequisite: BER 540. An overview of measurement methods, practice in administration and interpretation of standardized tests, and evaluation of tests and testing programs for counseling and guidance.

BCE 525 – Internship in School and Clinical Mental Health Counseling. Three to twelve hours. Prerequisite: Permission of the faculty. Supervised field experience in an appropriate job setting.

BCE 528 – Advanced Seminar in Clinical Mental Health Counseling. Three hours. Prerequisite: BCE 518. Advanced study and discussion of a variety of agency-specific issues and topics.

BCE 611 – Multicultural Counseling. Three hours. This course is designed to introduce students to multicultural issues unique to counseling and other helping professions.

BCE 650 – Counseling Strategies for Family Relationships. Three hours. Prerequisite: BCE 512 or permission of the instructor. Examination of theoretical and applied elements of systemic intervention with troubled families.

BER 500 – Introduction to Educational Research. Three hours. An overview of the research process, primarily for master’s students.

BER 540 – Statistical Methods in Education. Three hours. Descriptive and basic inferential statistics, including graphs, frequency distributions central tendency, dispersion , correlation, and hypothesis testing. Computer applications are included.

BEP 550 – Life span Development. Three hours. A study of principles and concepts of physical, cognitive personality, and social development from conception through death.

BSP 660 – Psychopathology. Three hours. Thorough examination of the history, scope, and understanding of abnormal behavior through the life span, with emphasis on educational and clinical implications. The most recent classification system is used to structure topics and issues in the course.

Find out how to apply here - http://graduate.ua.edu/prospects/application/

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