Master Of Information Technology (MIT)
Master Of Information Technology (MIT)
- IT8101 Research Methods and Skills
- IT8102 Technology Management
- IT8104 Data Analysis (pre-requisite for Data Science: Introduction, Management and Practice)
- IT8105 Machine Learning
- IT8109 Special Topic
- IT8108 Data Science: Introduction, Management and Practice
- IT9115 Project
To formulate a research proposal with focused questions developed through analysis, and appropriate research methods for gathering, evaluating and reporting data to support inquiry.
To review, select, implement and optimise existing strategies for managing technology within corporate environments, including the use of cloud deployments for competitive business advantage and apply advanced knowledge of IT service management, technology maturity models, information management, including the application of information governance, current laws and regulations.
To develop data analytical skills and data driven mindset to provide deep knowledge of data visualization tools, analytical techniques and common web analytical tools to perform a comprehensive analysis of different data types using various techniques. To interpret data and results for a non-technical audience.
To develop important insights into data and formulate an in-depth classification of the internal mechanism of machine learning algorithms, principals, and techniques. To analyse and evaluate the performance results of machine learning algorithms for real-world problems and design appropriate solutions with a profound demonstration of mathematics and statistics.
To undertake an in-depth investigation in emergent areas of IT, practical or theoretical, to build maintain currency, competence and expertise.
To provide an overview of data science and its applications in resolving contemporary real-world problems, including skills to collect, manage, manipulate, and analyse data sets using statistical software to design applicable solutions to industry standards.
To enable the application of relevant research methodologies to an independent research project in the field of interest and/or expertise. To select a problem, identify the gaps in existing studies, propose and develop novel solutions, evaluate and test the developed methods, and compare the results with existing state-of-the-art techniques.
COURSE DETAILS
Master Of Information Technology (MIT) – Trimester 1
Courses | Credits |
IT8101 Research Methods and Skills |
15 |
IT8102 Technology Management |
15 |
IT8104 Data Analysis (pre-requisite for Data Science: Introduction, Management and Practice) |
15 |
IT8105 Machine Learning |
15 |
Master Of Information Technology (MIT) – Trimester 2
Courses | Credits |
IT8109 Special Topic |
30 |
IT8108 Data Science: Introduction, Management and Practice |
30 |
Master Of Information Technology (MIT) – Trimester 3
Courses | Credits |
IT9115 Project |
60 |
2024 Fee Structure
Bachelor of Applied Information Technology
Registration Fee | AED 2,500 |
Program Fees (22,000×6 Semester) |
AED 60,000 |
Total | AED 62,500 |