University of Greenwich, United Kingdom
This advanced Master's program in Data Science offers a blend of theoretical understanding and hands-on skills essential for success in the job market. Covering diverse subjects including data science, statistics, specialized programming, machine learning, and data visualization, the curriculum ensures a comprehensive learning experience. Moreover, this program holds accreditation from BCS, The Chartered Institute for IT, partially fulfilling the academic prerequisites for Chartered IT Professional registration.
It looks like you've provided an outline of the compulsory modules and some elective options for Year 1 of a Master's program. The curriculum appears to be focused on data science, machine learning, and related technologies. Here's a breakdown of the modules:
**Compulsory Modules (120 credits):**
1. MSc Project (60 credits)
2. Big Data (15 credits)
3. Data Visualization (15 credits)
4. Machine Learning (15 credits)
5. Applied Machine Learning (15 credits)
6. Programming Fundamentals for Data Science (15 credits)
7. Essential Professional and Academic Skills for Masters Students
8. Statistical Methods for Time Series Analysis (15 credits)
**Elective Options (30 credits):**
- Choose 15 credits from:
- Clouds, Grids, and Virtualization (15 credits)
- Blockchain for FinTech Applications (15 credits)
- Choose another 15 credits from:
- Technologies for Anti-Money Laundering and Financial Crime (15 credits)
- Graph and Modern Databases (15 credits)
This curriculum seems comprehensive and covers a wide range of topics in data science, machine learning, and emerging technologies. The elective options allow students to tailor their studies based on their interests or career goals, whether it's in areas like cloud computing, blockchain, or financial technology.
If you have any specific questions or if there's anything else you'd like assistance with regarding this curriculum, feel free to let me know!
We will assist you to find best courses and destinations
