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Postgraduate Masters Master of Science Comprehensive

MSc Data Management and Analysis

Department of Data Science and Economic Policy 1 year Regular
How to Apply

About This Programme

The MSc Data Management and Analysis is a taught master's programme of the School of Economics, run by the Department of Data Science and Economic Policy. It responds to the need for a pool of graduates and working professionals with the capacity to manage and analyse data at the micro (firm and household) and macro (national) levels, and it prepares them to collect, curate, manage and analyse data for effective policy formulation and research.

The curriculum runs over two semesters and combines a core of data mining and predictive analytics, survey and census methodology, data governance, ethics and security, probability theory, database management, linear and non-linear models, social network analysis, machine learning, data curation and management, and data visualisation and dashboarding, with a research strand made up of Research Methods and a Capstone Project. Students choose one elective each semester from a list that spans health data analytics, GIS and spatial data analysis, text mining and natural language processing, time series analysis, education data analytics, cross-sectional and panel data analysis, financial risk analysis, monitoring and evaluation systems, and supply chain analytics.

Students are required to undertake an industrial attachment during the long vacation with policy-making institutions, think tanks, and institutions that generate data through their activities. The outcome of that attachment is the Capstone Project, in which students apply the skills gained on the programme to problems identified in the organisation that hosted them.

Programme Aim

Aim(s)

To produce graduates with the capability to collect, curate, manage and analyse data for effective policy formulation and research.

Programme Objectives

Objective(s)

Develop the capacity of students in data collection and curation.

The Department of Data Science and Economic Policy (DDSEP) was carved out of the Department of Economics (now the School of Economics) in August 2018 in order to carry out research in the area of economic policy-making within Ghana and beyond, through fostering quality policy-relevant economic research which would be disseminated widely to decision makers in both the public and the private sectors of the economy. The Department also has an objective of increasing accessibility to high-quality data to enhance socio-economic research in Ghana.

Due to the need for a pool of skilful graduates and working professionals with the capacity to manage and analyse data at the micro (firm and household) and macro (national) levels, the DDSEP originally developed an MSc degree programme in Social Science Data Management and Analysis. The programme was later relabelled MSc Data Management and Analysis on the recommendation of the National Accreditation Board. Since its inception and first accreditation in January 2018, the programme was mounted first as a sandwich programme and is now part of the regular master's degree programme of the School of Economics.

Entry Requirements

An applicant seeking admission into the programme must have a good first degree, at least a Second Class (Lower Division), in any field of study from a recognised academic institution, and submit an official transcript of academic record.

Applicants must also submit two referees' reports, one of which must be from the last institution attended. They must satisfy any additional requirements prescribed by the College/Faculty/School/Institute/Department. These may include relevant work experience, a written entrance examination and/or an interview.

A student who possesses a first degree with a third class or pass may be considered for admission into the MSc programme, but will be required to submit a transcript of his/her academic record and pass a selection interview.

Graduation Requirements

  1. Course Requirements: A candidate for the BCom (Accounting) degree must pass all courses taken, meet Inter-Faculty course requirements.
  2. Credit Requirements: A candidate must accumulate a minimum of 140 credits (including Advance Credits).
  3. Additional Requirements: The candidate must attain a minimum Cumulative Grade Point Average (CGPA) of 1.0. In addition, the candidate must have settled financial and other obligations to the university.

Employment Prospects of Graduates

Students who graduate with a degree in Data Management and Analysis can be employed in any organisation or institution in and outside the country, because data management and analysis is required for the analysis of performance at both the micro and macro level. Organisations and institutions strongly requiring data managers and analysts include:

  1. Policy-making organisations and institutions such as the Bank of Ghana, the Ghana Statistical Service, the Ministry of Education, the Ministry of Finance and Economic Planning, the Ministry of Local Government and Rural Development, the Ministry of Trade and Industry, and the National Development Planning Commission.
  2. International organisations such as the African Development Bank, the Economic Commission for Africa, the International Monetary Fund, the United Nations, and the World Bank.
  3. Financial institutions across the country and worldwide.
  4. Non-governmental organisations, public policy think tanks and economic research institutions.

No programme details available.

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