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Description of the Program
The Master's degree in Applied Information Technology is a graduate-level program at Africa Nazarene University that focuses on the practical application of information technology in a variety of businesses. This program blends technical abilities with business understanding to prepare students for leadership jobs and opportunities in IT-related sectors.
The program offers three concentrations including
- Data Analytics
- Systems Security and Audit
- Information Systems Management
Units Offered
Year 1 Semester 1
Core Units
- MIT 601 – Research Methods
- MIT 602 – Entrepreneurship and Innovation
- MIT 603 – Project Management
- MIT 610 – Introduction to Data Analytics
Year 1 Semester 2
Core Units
- MIT 604 – Information and Knowledge Management
- MIT 605 – Information Systems Security and Audit
- MIT 606 – Emerging IT Technologies
- MIT 617 – Ethics and Legal Issues in IT
Year 2 Trimester 1
Concentration Units
- Concentration Unit 1*
- Concentration Unit 2*
- Concentration Unit 3*
- Concentration Unit 4*
Year 2 Trimester 2
Concentration Units and Project
- MIT 618: Technical Writing
- MIT 700 – MSc. Project(Part I)
Year 2 Trimester 3
MSc. Project
∙ MIT 700 – MSc. Project(Part II)
Concentration
Information Systems Management (ISM)
This concentration aims to equip students with the knowledge and skills required to effectively manage and utilize information systems in various organizations.
- ISM 620 - Information Systems Policy and Strategy
- ISM 621 - Data management and Business Intelligence
- ISM 624 - Business Process Management
- ISM 625 - IT Service Management
Systems Security and Audit (ISA)
This concentration focuses on developing an understanding of cyber-attacks and risks, as well as equipping students to address the threats and consequences of cyber attacks through sound information security strategies and policies.
- ISA 630 – IT Risk Management and Compliance
- ISA 631 - Computer Crime and Forensics
- ISA 635: Information Security, Privacy, and Policy
- ISA 636: Cryptography for Cyber and Network Security
Year 2 Semester 1
Data Analytics (DAT)
This concentration emphasizes the mastery of techniques such as machine learning, social network analysis, large-scale data reduction and filtering, as well as their application to the formulation of strategies to further the organizational goals.
- DAT 650: Data Mining and Machine Learning
- DAT 652: Text Analytics for Natural Language Processing
- DAT 654: Data Visualization
- DAT 656: Data Analytics for Decision Making
Admission Requirements
The student must be a holder of any degree from an accredited university.
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