Advanced School of Engineering, Technology and Science
About the Program
The Master of Engineering (MEng) in Data Analytics Engineering program at GOU provides a strong foundation in advanced core and concentration subject areas of data analytics engineering. It is designed to provide Learners with the core and most advanced practical knowledge and skills that a professional engineer in the field needs to be successful in today’s industry. In addition, the program provides Learners with knowledge and skills in advanced data analytics engineering tools, methods, processes, and best practices.
In addition to acquiring the requisite knowledge and competencies in the core subject areas of the Program, Graduates of this Program will also gain entrepreneurial skills, expertise, experience, and knowledge/know-how to empower them to set up 4th Industrial Revolution (4IR) compliant business enterprises and corporations relating to their vocation, profession, area of expertise or competency.
- Key Information
- Program Outcomes
- ACTIVEclass Program Delivery Mode
- ACTIVEclass Compliant
- Program Structure
- Targeted Learners
- Admission Requirements
- Fees & Funding
- Scholarship & Financial Aid
Key Information
Mode of Delivery
Online
Duration
9 – 12 months
Number of Modules
13
Number of Credit Hours
52
Apply Date
January 2025
Start Date
September 2025
Language
English
Program Outcomes
The program provides Learners with in-depth knowledge and understanding of data analytics engineering methods, processes, and practices. It enables them to deepen their understanding and knowledge in the field of data analytics engineering and its practice in the technological age.
Learners on the program are able to acquire the requisite knowledge and job-relevant in-demand skills and competencies in data analytics engineering. The program prepares Learners for professional data analytics engineering careers with the competencies to lead engineering projects in the field.
The ACTIVEclassTM Mode of Delivery of this Program lays less emphasis on teaching or instruction. Learners are encouraged and empowered to develop and acquire their Program-specific SEEKTM (skills, expertise, experience, and know-how) through the innovative LKDATM (Learn, Know, Do, Acquire) approach
The Program provides Learners with in-depth knowledge and understanding of the core, concentration, and specialization subject areas of the Program to enable them develop and acquire the relevant Program-specific SEEKTM through actively engaging in the Learning-by-Involvement (LbI) and Knowing-by-Doing (KbD) activity-based learner-initiative-intensity-activeness LKDATM-Outcome AATs (actions, activities, and tasks).
The LKDATM– Outcome ACTIVEclassTM Mode of Program Delivery
The Program is ACTIVEclassTM Compliant whereby the instructional delivery approach is designed to facilitate, support, and empower the active engagement of Learners in the process of developing and acquiring their Program-specific SEEKTM (skills, expertise, experience, and know-how).
ACTIVEclassTM Instructors are, therefore, not at the center of the teaching-instruction-learning process. They focus on introducing the subject matter of instruction, mapping out and guiding Learners through learner-initiative-intensity-activeness LKDATM (Learn, Know, Do, Acquire) Outcome AATs (actions, activities, and tasks).
ACTIVEclassTM Learners are therefore encouraged and empowered to play an active engagement role in contributing to their SEEKTM (skills, expertise, experience, and knowledge/know-how) development and acquisition process through actively engaging in the Learning-by-Involvement (LbI) and Knowing-by-Doing (KbD) activity-based LDKATM Outcomes AATs (activities, actions, and tasks).
| Number of Modules | Credit Per Module | Total Credit Hours | |
|---|---|---|---|
| Core Modules | 4 | 4 | 16 |
| Research Modules | 2 | 4 | 8 |
| Elective Modules | 7 | 4 | 28 |
| Total | 13 | 52 |
Core Modules
Select 4 Modules
- Applied Deterministic & Stochastic Operations Research Models
- Artificial Intelligence & Machine Learning
- Big Data Analytics and Applications in Engineering & Technology
- Computer Modelling & Simulation Using MathLab
- Data Analytics & Data Science in Engineering & Technology
- Engineering Supply Chain Management
- Programming for Data Analytics
- Reliability and Maintainability Engineering
- Statistical Methods in Data Science
- Total Quality Management and Six Sigma
Research Modules
Select All Modules
- Research Methods and Methodology (Non-Credit)
- Masters Research Project
Elective Modules
Select 7 Modules
- Advanced Database Management Systems
- Applied Data and Text Analytics
- Business & Statistical Data Analytics and Databases
- Cloud Data Warehouses
- Computing Concepts for Applications in Engineering
- Data Analysis and Visualization
- Data Management for Analytics
- Data Mining and Visualization in Engineering
- Data Modelling and OLAP Techniques for Data Analytics
- Data Pipelines with Airflow
- Data Wrangling
- Data-Driven Decision Making
- Distributed Systems and Cloud Computing
- Fundamentals of Industrial Data Analytics
- Machine Learning and Intelligent System
- Simulation and Modeling Analysis
- Spark and Data Lakes
Targeted Learners
Academic Requirements
- Candidates for admission to this Program must possess a Bachelor’s degree or equivalent from a recognized university.
- Candidates without Bachelor’s degree or equivalent will be considered for admission to the Program based on evidence of relevant Prior Learning/Work Experience.
- Candidates without the requisite qualification or relevant Prior Learning/Work Experience can be considered for admission to the Program by taking and passing the GOU Flexible Entry Examinations.
English Requirements
All modules of this Program will be delivered in English. Therefore, English language proficiency is required for admission to this Program. Applicants who need to improve their English to the required proficiency level can enroll in the GOU English Language Proficiency Course
Master’s Degree fee is $750/Module
GOU has in place a competitive Scholarship and Financial Aid scheme for qualified and needy students seeking admission to any program of study. Prospective students should contact the Student Admissions Office (admissions@gou.university) for eligibility details and on the application process.
Similar Programs For You
Sign Up for Our Newsletter
Receive weekly newsletter with educational materials, popular books and much more!
