Description:
Data Science, a rapidly expanding field globally, is driven by continuous advancements in computer systems and data gathering. This program leverages the strengths of Kingston's Mathematics and Computer Science programs, offering a multidisciplinary approach to computationally analyzing data. In a world abundant with large datasets in business, science, and government, the demand for data-savvy professionals is escalating. This program equips you with the skills to make sense of complex datasets, build models, and apply them to solve relevant problems, preparing you for a rewarding career in this dynamic and growing field.
Course Features:
- Demand: Data Scientists are in high demand globally, with organizations seeking professionals capable of extracting valuable insights from data.
- Growth: Data Science careers offer high earning potential, reflecting the industry's recognition of the importance of data-driven decision-making.
- Job Security: Data Science is a fast-growing field, providing professionals with job security and a range of opportunities for career advancement.
- Opportunity: Data Science opens doors to various job opportunities, spanning industries and sectors, contributing to its versatility and applicability.
- Flexibility: Data Scientists are needed in various sectors, showcasing the flexibility of skills and their relevance across diverse industries.
Course Benefits:
- Practical Skills: Gain hands-on experience in computationally analyzing data, building models, and solving real-world problems.
- High Earning Potential: Unlock high earning potential by entering a field where data-driven decision-making is highly valued.
- Versatile Career Opportunities: Explore diverse career opportunities in industries such as business, science, and government.
- Job Security: Join a fast-growing field, ensuring job security and long-term career prospects.
- Interdisciplinary Approach: Benefit from a multidisciplinary approach that combines the strengths of Mathematics and Computer Science programs.
Entry Requirements
- A Honours degree in a subject with relevant computing science and mathematics/statistics content.
- Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engine. courses
- This course requires applicants to have programming knowledge, such as Python, Java, C++/C#, JavaScript and a knowledge of databases
- 25+ years old or substantial relevant work experience, such as two years as a programmer
Outline
| Applied Data Programming |
| Databases and Database Management |
| Data Analytics and Visualization |
| Machine Learning and Artificial Intelligence |
| Project Dissertation |
Duration
- Full Time: 12 Months
Schedule
| Batch | Commencement Date | Available Seats | |||
|---|---|---|---|---|---|
| Please select a branch to view the batch details | |||||
Fee
Sri Lankan Students
Course Fee
LKR 400,000
University Fee
USD 1,200
International Students
Course Fee
USD 2,600
University Fee
USD 1,350