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 email@example.com
|Eligibility||1) Candidate who possess a Bachelors degree or equivalent in the relevant field of Engineering / Technology, specified by the concerned University for admission to a particular Post graduate course from a recognized university with at least 50% marks (at least 45% marks in case of candidates of Backward class categories)
2)Obtained Score in Graduates Aptitude Test In Engineering (GATE ) conducted by IIT.
1st Year Fee : Rs 1,00,000 per annum
Hostel Fee Rs. 65000 per annum + 5000 security deposit.
Please note fees for (examination, eligibility, sports etc.) will be charged extra,
|Ist Semester||IInd Semester|
|• English for Communication||• Engineering Mechanics|
|• Linear Algebra and Ordinary Differential Equations||• Computational Mathematics and Integral Calculus|
|• Engineering Chemistry||• Modern Physics|
|• Applied Physics||• Environmental Studies|
|• Engineering Drawing||• Computer Programming|
|• Communication Skills Laboratory||• Computational Mathematics Laboratory|
|• Engineering Chemistry Laboratory||• Engineering Physics Laboratory|
|• IT Workshop||• Computer Programming Laboratory|
|• Basic Workshop||• Computer Aided Engineering Drawing Practice|
|IIIrd Semester||IVth Semester|
|• Mathematical Transform Techniques||• Complex Analysis and Probability Distribution|
|• Introduction to Aerospace Engineering||• Thermodynamics|
|• Theory of Aircraft Structures||• Low Speed Aerodynamics|
|• Fluid Mechanics and Hydraulics||• Aircraft Materials and Production|
|• Fundamentals of Electrical and Electronics Engineering||• Analysis of Aircraft Structures|
|• Gender Sensitivity||• Audit Course|
|• Strength of Materials Laboratory||• Aerodynamics Laboratory|
|• Fluid Mechanics and Hydraulics Laboratory||• Aerospace Structures Laboratory|
|• Electrical and Electronics Laboratory||• Aircraft Materials and Production Laboratory|
|Vth Semester||VIth Semester|
|• Aircraft Propulsion||• Space Propulsion|
|• High Speed Aerodynamics||• Computational Aerodynamics|
|• Aerospace Finite Element Methods||• Aircraft Stability and Control|
|• Aircraft Systems and Controls||• Professional Elective - II|
|• Aircraft Performance||• Open Elective – I|
|• Professional Elective - I|
|• Aircraft Systems Laboratory||• Aerospace Propulsion Laboratory|
|• Flight Controls Laboratory||• Aerospace Composite Structures Laboratory|
|• Technical writing and Content Development Laboratory||• Computer Aided Manufacturing Laboratory|
|• Mini Project|
|VIIth Semester||VIIIth Semester|
|• Aerospace Structural Dynamics||• Flights Controls Theory|
|• Space Mechanics||• Aviation Management|
|• Flight Vehicle Design||• Professional Elective - IV|
|• Professional Elective - III|
|• Open Elective – II|
|• Computational Structural Analysis Laboratory||• Comprehensive Examination|
|• Flight Vehicle Design Laboratory||• Project Work (Phase- II)|
|• Computational Aerodynamics Laboratory|
|• Project Work (Phase – I)|
|Group- I: Aerospace Structural Engineering|
|• Aircraft Smart Structures||• Advanced Solid Mechanics|
|• Experimental Stress Analysis||• Structural Health Monitoring|
|• Fatigue and Facture||• Design and Analysis of Composite Structures|
|• Aero elasticity||• Unmanned Air Vehicles|
|Group- II: Aerodynamics / Fluid Flows|
|• Ground Vehicle Aerodynamics||• Advanced Computational Aerodynamics|
|• Turbulent Flows||• Wind Engineering|
|• Experimental Aerodynamics||• Hypersonic Aerodynamics|
|• Missile Aerodynamics||• Helicopter Aerodynamics|
|Group- III: Aerospace Propulsion Systems|
|• Theory of Combustion||• Turbo Machinery|
|• Heat Transfer in Propulsion Systems||• Cryogenics|
|• Aero Engine Design||• Rocket and Missiles|
|• High Temperature Gas Dynamics||• Low Gravity Fluid Dynamics|
|Group- IV: Aerospace Design and Manufacturing Engineering|
|• Un-conventional Manufacturing Process||• Non Destructive Testing|
|• CAD / CIM||• Industrial Aerodynamics|
|• Composites Fabrication and Machining||• Mechanism and Machine Design|
|• Renewable Energy Sources||• Production Design and Development|
|Group- V: Aviations|
|• Avionics and Instrumentation||• Air Transportation System|
|• Airport Planning and Management||• Airworthiness and Certifications|
|• Flight Scheduling and Operations||• Lean Management|
|• Airport Operations||• Air Traffic Control|
|Group- VI: Flight Dynamics and Control|
|• Computational Flight Mechanics||• Spacecraft Attitude and Control|
|• Guidance and Control of Aircraft||• Flight Simulation|
|• Orbital Mechanics||• Space Dynamics|
|• Atmospheric Re-entry Vehicle||• Applied Optimal Control|
|• Micro Electro - Mechanical Systems||• Disaster Management|
|• Geo Spatial Techniques||• Operating System|
|• Object Oriented Programming through JAVA||• Embedded Systems|
|• Signal Analysis and Transform Techniques||• Reliability Engineering|
|• Robotics||• Aerospace Propulsion and Combustion|
|• Digital Image Processing||• Optimization Techniques|
|• Data Base Management System||• Information Security|
|• Modeling and Simulation||• Energy From Waste|
|• Finite Element Analysis||• Research Methodologies|
|• Composite Materials||• Launch Vehicles and Controls|
|• Intellectual Property Rights||• Total Quality Management|
|• Professional Ethics and Human Values||• Legal Sciences|
|• Clinical Psychology||• English for Special Purposes|
|• Entrepreneurship||• Any Foreign Language|
|• Design History|
|Advanced Computing Laboratory|
|• Computational Analysis in ANSYS||• Computational Analysis in Nastran|
|• Computational Methods in Hyper Mesh||• Computational Analysis in ABAQUS|
|• Computational Numerical Programming||• Computational Analysis in Patron|
|• Finite Element Modeling Laboratory through LS DYNA|
|Value Added Courses|
|• Advanced Computer Aided Design Certification||• Computer Aided Three dimensional Interactive Application|
|• Pro Engineering Certification||• SOLID WORKS Certification|
|• Unigraphics||• COMSOL Certification|
|• Aircraft Maintenance Certification||• 3D - Printing Technology|