Advanced School of Computing and Data Sciences
About the Program
The Master of Data Science for Marketing program at GOU is designed to equip our Learners with high-impact skills in using data science tools and methods for marketing. The program focuses on the underpinning concepts, principles, and theory, together with methods for implementation and applications of data science in marketing.
Learners are equipped with the high impact in-demand skills and knowledge in data science needed to construct solutions to complex data analysis problems in the field of marketing. In addition, Learners acquire the requisite knowledge and skills in marketing that enhance their knowledge and expertise in the area to enable them to play more strategic professional roles in this evolving and innovative field using data science.
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 is designed to provide Learners pursuing a career in this dynamic field with the requisite foundation and competencies to approach and comprehend the tools and methods of data science and data analytics for marketing decision-making.
Learners on the program will acquire job-relevant in-demand skills and competencies needed to deploy, use and apply data science analytical techniques and methods in marketing. In addition, Learners are equipped with the requisite professional skillsets and competencies in the continuously evolving field of data science and data analytics.
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 | 6 | 4 | 24 |
| Research Modules | 2 | 4 | 8 |
| Elective Modules | 5 | 4 | 20 |
| Total | 13 | 52 |
Core Modules
Select 6 Modules
Research Modules
Select All Modules
- Research Methods and Methodology (Non-Credit)
- Masters Research Project
Elective Modules
Select 5 Modules
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.
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