COURSES DETAILS
Master of Information Systems Management & Data Analysis
Description
ACCORD UNIVERSITY
MASTER OF IN INFORMATION SYSTEM MANAGEMENT & DATA ANALYSIS
English
Version
WWW.ACCORD.EDU.SO
2021/2022
Overview
1.0 INTRODUCTION
M.Sc. Information Management and Data Analysis or Master of Science in Information Management and Data Analysis. This programme is ideal for aspiring IT managers who want to launch a career in the industry and confidently utilize opportunities that big data offers for business success. The course is also suitable for people already in the computing management environment. it.
Course Name |
M.A. Information Management and Data Analysis |
Duration |
1 year |
Eligibility |
Graduate in any stream. Minimum Percentage: 60% |
Admission |
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|
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Master of Science in Information Management and Data Analysis
Duration 1 Year |
Level Post-Graduation |
Type Degree |
Eligibility Graduation |
M.Sc. Information and Data Analysis
This course will give you the skills you need to benefit from the opportunities big data offers. Gaining this essential knowledge will allow you to apply data handling methods to inform your business decisions and ensure your firm’s information systems are aligned with business goals and strategies.
Courses
Sr. No. Subjects of Study |
Code |
Subject Type |
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Sem. I |
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1 |
Introduction to Information System & Data Analysis |
SSPSW701 |
Compulsory |
2 |
Emerging Technologies and Block Chain Fundamentals |
DHM702 |
Compulsory |
3 |
Basics of Data and Advanced Algorithms |
SPPD703 |
Compulsory |
4 |
Marketing Management & Analytics |
IDM710 |
Elective |
Sem. II |
|
|
|
1 |
Building & Managing Business Systems |
SWASD706 |
Compulsory |
2 |
Warehousing and Business Intelligence |
SWRUTC707 |
Compulsory |
3 |
Data Architecture |
CDWSWA709 |
Compulsory |
4 |
Parallel and Distributed Computing |
SSC7012 |
Elective |
Sem. III |
|||
1 |
Managerial Analysis and Communication – I |
PFSW704 |
Compulsory |
2 |
Unstructured Data Analytics & Machine Learning |
SWSJ708 |
Compulsory |
3 |
Application for Digital Age |
CFW705 |
Elective |
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|
|
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Final Project |
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|
|
12 |
Dissertation |
|
|
Modules
- Data Design
- Data Handling and Decision Making
- Data Visualisation and Interpretation
- IS and Business Strategy Alignment
- Technology and Trend Monitoring
- Project and Portfolio Management
- Research Project
Career direction
After studying for this MSc Data Analytics and Information Systems Management programme you will be well equipped to enter a strategic role in the IT sector or to take your data manipulation skills to a non-IT specialist position.
The type of job roles you might explore are:
- Information Systems Manager
- Functional Manager
- Service Delivery manager
- Systems Manager
- Senior Data Analyst
- Statistician
- IT Risk
- Business Intelligence Specialist
- Data Manager
Assessment: Dissertation
The MSc Information Management and Data Analysis (Top-up) aims to extend and improve the understanding and competence gained via professional qualifications and to enhance the ability of students to think strategically about management and organizational change within Information Management and Data Analysis
This programme is designed for (Postgraduate) in Information Management and Data Analysis graduates and provides a means by which the continuing professional and personal needs of Development practitioners can be met.
This programme will broaden your specialist knowledge previously gained at a professional level. In particular, the module, ‘Information Management and Data Analysis research project’ guides you to research into the key challenges Information Management and Data Analysis professionals face in the organization. This module aims to Information Management and Data Analysis professionals with the necessary skills to undertake independent project work within an information management context. The Research Methods element provides you with an introduction to research, types of research methodology, formulating and planning a research project, data collection, analysis, and presentation of research findings based upon an actual information management or data analysis focused topic.
Faculty Email: