Specialisation in Data Analytics
Curriculum
Our interdisciplinary Engineering curriculum emphasise the core areas of data science, including courses in programming, math, statistical modeling, machine learning and data management. Students learn all the aspects of the data science process from data collection and data understanding to model building and model validation and develop communication and critical thinking skills through real world applications.
The specialisation in Data Analytics equips students with the skills to draw out intelligent analysis of data, which is a crucial component in numerous business applications and supporting business decisions.
The program is designed to cater to the ever-changing needs and demands of the industry. Data Analysis experts are among the most sought-after professionals in IT sector with demand for skilled technocrats in that field outpacing other IT jobs by a wide margin. Some important components of this program are:
- Data Science principles, tools, and techniques to solve “real world” business problems and suggest suitable solution with relevant findings.
- Recognise issues in everyday business; apply Data Science for better understanding of data-driven management decisions to help get an edge over competition.
- Provide insights into leading analytic practices, design and lead iterative learning and development cycles.
- Produce new and creative analytic solutions, which can become a part of any business’s core deliverables.
- Get insights on how to improve business results by building data-fuelled products.
Some important skill sets taught in this specialisation:
Predictive Analytics | Data Analysis & Management | Data Visualisation | Business Intelligence | SAS Programming | Programming tools like R, Python
