(MSc) Master of Science
Economics with Data Analytics
Current
University of Essex
University of Essex
Economics
Colchester Campus
Masters
Full-time
MSC L14112
10/05/2023
Details
Professional accreditation
None
Admission criteria
A degree with an overall 2.2 in a discipline related to economics such as: Economics, Maths, Engineering, Finance, Physics or any other degree with a strong maths component.
The Degree should contain some economics components including Macroeconomics; Microeconomics or Econometrics.
IELTS (International English Language Testing System) code
IELTS 6.0 overall with a minimum component score of 5.5
If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.
Additional Notes
The University uses academic selection criteria to determine an applicant’s ability to successfully complete a course at the University of Essex. Where appropriate, we may ask for specific information relating to previous modules studied or work experience.
Course qualifiers
A course qualifier is a bracketed addition to your course title to denote a specialisation or pathway that you have achieved via the completion of specific modules during your course. The
specific module requirements for each qualifier title are noted below. Eligibility for any selected qualifier will be determined by the department and confirmed by the final year Board of
Examiners. If the required modules are not successfully completed, your course title will remain as described above without any bracketed addition. Selection of a course qualifier is
optional and student can register preferences or opt-out via Online Module Enrolment (eNROL).
None
Rules of assessment
Rules of assessment are the rules, principles and frameworks which the University uses to calculate your course progression and final results.
Additional notes
None
External examiners
Dr Domenico Moro
Lecturer
university of Birmingham
External Examiners provide an independent overview of our courses, offering their expertise and help towards our continual improvement of course content, teaching, learning, and assessment.
External Examiners are normally academics from other higher education institutions, but may be from the industry, business or the profession as appropriate for the course.
They comment on how well courses align with national standards, and on how well the teaching, learning and assessment methods allow students to develop and demonstrate the relevant knowledge and skills needed to achieve their awards.
External Examiners who are responsible for awards are key members of Boards of Examiners. These boards make decisions about student progression within their course and about whether students can receive their final award.
Programme aims
The course aims to impart the tools to analyse pressing economic problems using advanced data analytic techniques. This joint course encourages students to develop the economic and computational tools to not just isolate problems but also develop sophisticated evidence-based answers.
Learning outcomes and learning, teaching and assessment methods
On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:
A: Knowledge and understanding
A1: Knowledge of advanced principles at the forefront of contemporary applied economics
A2: Knowledge of a range of applications using advanced data analytic techniques.
A3: Understanding of the key developments in data analysis (research-led-teaching).
A4: Understanding of the relationships between principles and real world applications of those principles.
A5: Awareness of the significance of alternative approaches
A6: Knowledge of the methods used to analyse pressing economic problems using advanced data analytic techniques
Learning methods
Outcomes A1-A6 are acquired through lectures, classes, and related coursework. Lectures are used to present material - ideas, data and arguments - in a clear and structured manner. Lectures are also used to stimulate students' interest in learning. Classes and preparation for lectures and classes, provide an opportunity for students to develop their knowledge and understanding of the content of the modules. Preparation for assignments and for examinations aids students in developing this knowledge and understanding. Students are expected to extend and enhance the knowledge and understanding they acquire from lectures and classes by regularly consulting library materials relating to the course.
Assessment methods
Outcomes A1-A6 are assessed throughout the modules comprising the degree by means of written examinations and coursework.
B: Intellectual and cognitive skills
B1: Logically analyse particular economic problems and choose the most appropriate methods for their solution
B2: Exercise critical judgement in assessing different and competing theories and methods and appraising their merits
B3: Formulate a coherent argument
B4: Construct reasoned, informed and concise descriptions and assessments of economic ideas.
Learning methods
Skills B1-B4 are acquired and enhanced primarily through the work that students do for their modules, although lectures provide a means for teachers to demonstrate these skills through examples and applications. Student preparation involves the reading, interpretation and evaluation of the relevant material including the relevant literature. Teachers provide feedback on student work through comment and discussion. In addition, teachers engage students outside the classroom through office hours, appointments, and email.
Assessment methods
Skills B1-B4 are assessed throughout the modules comprising the degree by means of written examinations and coursework.
C: Practical skills
C1: Identify, select and gather information using relevant sources, including the library and online searches
C2: Organise ideas in a systematic and critical fashion
C3: Present and critically assess ideas and arguments coherently in writing
C4: Use and apply the right terminology and concepts
Learning methods
Skills C1-C4 are acquired and enhanced primarily through the work that students do for their modules and for the MSc Dissertation. Lectures also provide a means of teachers demonstrating these skills through examples and applications.
Assessment methods
Skills C1-C4 are assessed throughout the modules comprising the degree by means of written examinations and coursework, including the MSc dissertation. Skills C1 and C2 are also informally assessed by student's preparation for each module.
D: Key skills
D1: Communication in writing, using appropriate terminology and technical language:
(a) the articulation of economic theories,
(b) the description of economic evidence,
(c) the critical assessment of economic arguments and policies
D2: Production of a word-processed coursework. Development of web-skills. Numerical skills using Excel and STATA and Python softwares
D3: Use of mathematical techniques to construct economic and financial models
D4: Application of logical reasoning to address issues in international economics
D5: Class material can involve group working in particular subjects
D6: Capacity to:
(a) organise and implement a plan of independent study;
(b) reflect on his or her own learning experience and adapt in response to feedback; and
(c) recognise when he or she needs to learn more and appreciate the role of additional research
Learning methods
Students are guided in acquiring skills D1-D6 through lectures, classes and individual advice from teachers. These skills are further developed as students pursue the learning activities associated with their modules and in the MSc dissertation. Students also have the opportunity to develop skills in working in groups through their participation in classes for modules.
Assessment methods
Skills D1-D6 are assessed throughout the modules comprising the degree by means of examinations and coursework, including the MSc dissertation.