The term "Advanced computing” is an expansive term and cannot be described explicitly in just one definition. Its meaning often varies depending on the usage.

For example, high-performance computing can be one of the meanings of Advanced computing. Here several computer clusters function as a supercomputer to undertake massive projects. Advanced computing can also be used for simulations often used in the field of engineering.
Advanced computing could be used to describe either a high-end computer of a specific type and the processes performed. It can also mean broader and in-depth range of skills used on personal computers.
But this programme helps you with fundamental conceptual tools for modelling, design and analysis of advanced computing systems. In-depth focus is given in any one of its specialisations out of four areas - computational logic, computational complexity, cryptology and distributed computation.
The in-depth expertise includes up- to- date expertise in areas of computing including internet telephony systems, mobile phone applications, web services, computer gaming technologies, computer security and forensic areas. It also includes algorithmic concepts, data structures, practical techniques, implementation skill for solving advanced computational problems.

Data Science, on the other hand, deals with any data structured or unstructured, encompasses anything related to data cleansing, preparation, and analysis. It is an umbrella term for techniques used when trying to extract insights and information from data.
The post-graduate dual programme, in Data Science with core Advanced Computing is aimed at enhancing the skill set of engineers to be data scientists. The programme also has adjunct faculty members from industry to share real-time case studies.
Data science helps with techniques to handle the flood of big data generated across the world. Data Scientists together develop the skill set needed to collect, process and extract meaningful information from huge and diverse data sets. Data visualisation helps to understand the big data. Data analytics is used to enable management to take a better decision, to verify existing theories or models.

Opportunities Of Dual Specialisation

The knowledge and experience you develop will position you for a diverse and engaging career.

• Opportunities span from research and development, consulting, information and communication technology services, software architecture and start-ups.
• The cutting edge of research in computing and gain skills will enable you to develop software that tackles complex problems. Computational Science has become an indispensable part of scientific research and technological development to keep you enthused.
• Apart from the fantastic job projects in high profile companies including HP, IBM, Yahoo, Oracle, Samsung etc. the programme will make you one of those elite individuals sought by national and international laboratories dealing with various computational science problems from weather forecasting to the design of the aircraft wings for supersonic speed.
• Indian Space Research Organization (ISRO), Defense Research and Development Organization (DRDO), National Aerospace Laboratories (NAL), Tata Institute of Fundamental Research (TIFR), Centre for Development of Advanced Computing (CDAC) are just a few of them.
• Data scientists whether at entry or senior level are required by every industry, government organisation, and Internet start-ups, financial institutions just to name a few to handle big data projects at every level. The big data analytics market will surpass $200 billion soon as per Forbes.

What we offer

If you are looking for M.Tech. Advanced Computing data science course in Maharashtra, India you can safely take admission to Sandip University.
This dual specialisation is going to help you immensely with expertise in both the fields of computing and data. The course is aimed at enhancing the skill set of engineers to be data scientists. You will be armed with added knowledge and expertise.
Expect to get precise knowledge and experience of the theoretical foundations and practice of computing at an advanced level with subjects like Algorithm Design and Analysis, Data Structures and their Implementation in C++, and Parallel and Distributed Algorithms. This is apart from elective subjects and experienced faculty from industry to share real-time case studies.
Start Your Pursuit Of High-Demand-Career from Sandip University. Apply Today for M.Tech. Advanced Computing data science course. Use our Toll-Free number 1800-212-2714 or just drop us an email info@sandipuniversity.edu.in