Full Training Course
Advanced Digital Skills
An advanced digital skills course is designed to equip participants with high-level technical abilities and expertise to thrive in the modern digital economy. These courses typically focus on specialized areas and prepare learners for careers or leadership roles in technology-driven environments.
Next Batch
04/03/2025
Duration
6 Months
Course Level
Beginner
About this course
The MCom degree is an intellectually stimulating and rewarding, research-based, postgraduate programme. The primary purpose of the programme is to educate and train researchers who can contribute to the development of knowledge.
Through producing a dissertation under supervision, MCom students must be able to reflect critically on theory and its application in practice by accurately framing problems, asking interesting and important questions, as well as formulating appropriate strategies for investigating these questions.
The programme is also designed to equip students with the ability to conduct, evaluate and communicate outcomes of research, with a high degree of competence.
Articulation
The programme allows for articulation to the Doctor of Business Administration (DBA) degree offered by MANCOSA as well as a Doctor of Commerce (DCom) degree, a Doctor of Philosophy degree, or other cognate NQF level 10 doctoral degree, offered both locally and internationally.
Course Curriculum
Key Topics
1. Data Analytics and Visualization
- Advanced Excel techniques (macros, VBA, etc.)
- Data visualization tools: Power BI, Tableau, or Google Data Studio.
- Statistical analysis and predictive modeling.
- Big data handling and tools like Apache Hadoop and Spark.
2. Artificial Intelligence and Machine Learning
- Understanding neural networks, algorithms, and AI models.
- Practical implementation using tools like TensorFlow or PyTorch.
- Applications in natural language processing (NLP) and computer vision.
3. Digital Marketing Strategy and Analytics
- Advanced SEO and content strategy.
- Performance marketing with Google Ads, Meta Ads, and LinkedIn Ads.
- Campaign tracking and optimization with Google Analytics 4 (GA4).
- A/B testing and conversion rate optimization (CRO).
4. Cybersecurity and Data Protection
- Risk management frameworks and threat mitigation strategies.
- Ethical hacking and penetration testing tools (e.g., Kali Linux, Metasploit).
- Implementing data encryption and secure protocols.
- Compliance with GDPR, CCPA, or other data protection regulations.
5. Cloud Computing and DevOps
- Advanced concepts in AWS, Google Cloud, or Microsoft Azure.
- Infrastructure as Code (IaC) using Terraform or Ansible.
- CI/CD pipelines using tools like Jenkins or GitLab.
- Containerization and orchestration with Docker and Kubernetes.
6. Programming and Software Development
- Advanced programming languages: Python, JavaScript, or R.
- Frameworks and libraries: React, Angular, or Django.
- Backend development and database integration (SQL, NoSQL).
- Version control with Git and GitHub/GitLab.
7. UI/UX Design and Prototyping
- Advanced Figma, Adobe XD, or Sketch for interface design.
- User research and usability testing.
- Interaction design and micro-interactions.
- Responsive design principles and accessibility standards.
8. Blockchain Technology
- Smart contracts and decentralized applications (dApps).
- Understanding cryptocurrencies and digital assets.
- Enterprise blockchain solutions for industries like finance and supply chain.
9. Internet of Things (IoT)
- IoT architecture and ecosystem design.
- Implementing IoT with devices like Raspberry Pi and Arduino.
- Data transmission protocols and IoT security.
10. Advanced Automation and AI Tools
- Workflow automation with Zapier, Integromat, or Power Automate.
- AI content creation and management tools (e.g., ChatGPT, Jasper, or Copy.ai).
- Robotic process automation (RPA) using UiPath or Blue Prism.
Year 1 Modules
Dissertation: Commerce
Career Prospects
Embark on a professional path leading to roles such as:
- Management Consultant
- Senior Analyst/Manager
- Corporate Executive
- Entrepreneur/Academic
Who should enroll?
- Professionals in tech or digital industries looking to upskill.
- Entrepreneurs who want to leverage advanced digital tools for business growth.
- Graduates aiming for specialized roles in data science, AI, or digital marketing.
Entry requirement for course
Step 1: Ensure you meet the entry requirements
- A cognate Honours degree or Postgraduate Diploma in Commerce (NQF level) from an accredited institution, or equivalent qualification.
- Applicants must submit a personal motivation letter and letters of recommendation.
- Candidates over 30 may be considered through RPL.
Step 2: Speak to an advisor
Speak to an advisor
Step 3: Complete your application
Complete your application
How to get started
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