COMPUTER SCIENCE

PH.D. COMPUTER SCIENCE

INTERNATIONAL INSTITUTE OF MANAGEMENT & ENGINEERING
In Mumbai

Rs 1,73,200
VAT incl.
You can also call the Study Centre
22656... More

Important information

  • PhD
  • Mumbai
  • Duration:
    2 Years
  • When:
    Flexible
  • Credits:
Description

The degree of Doctor of Computer Science (DCompSci, DSc.Comp, D.C.S., D.C.Sc.) is a doctorate in Computer Science by dissertation or multiple research papers. The DCompSci often requires coursework beyond the masters' level in addition to research that results in a dissertation that contributes to computer theory or practice.

Important information
Venues

Where and when

Starts Location Timetable
Flexible
Mumbai
401107, Maharashtra, India
See map

Frequent Asked Questions

· What are the objectives of this course?

The Ph.D. program in Computer Science offers the opportunity to conduct theoretical and practical research in a broad range of subfields of computer science or in the intersection of computer science and other disciplines (e.g. biology, cognitive science, statistics).

· Who is it intended for?

Candidate Who has completed M.Phil. / Pre Ph.D. / P. G. in Relevant Subject

· Requirements

Candidate Who has completed M.Phil. / Pre Ph.D. / P. G. in Relevant Subject

· Qualification

Candidate Who has completed M.Phil. / Pre Ph.D. / P. G. in Relevant Subject

· What marks this course apart?

REGULAR ADMISSION CAMPUS STUDY

· What happens after requesting information?

DOCUMENTS SCANED APPLICATION FORM FILL REGISTRATION CHARGES

Opinions

There are no opinions on this course yet

What you'll learn on the course

Computer Science
Computer
Computing

Teachers and trainers (1)

SNEHA SHARMA
SNEHA SHARMA
ENGINEERING JOBS

Course programme

1. Computer architecture / Computer organization
2. Data and file structures
3. Design and analysis of algorithms
4. Discrete mathematics
5. Operating systems
6. Automata, languages and computation
7. Advanced algorithmsfor graph and combinatorial optimization problems
8. Advanced database theory and applications
9. Advanced image processing 10. Advanced operating systems
11. Advanced pattern recognition
12. Algebra, i.e., groups, rings, fields and vector spaces
13. Artificial intelligence
14. Compiler construction
15. Computational algebra
16. Computational complexity
17. Computer graphics 18. Computer vision
19. Cryptology
20. Data mining
21. Database managementsystems
22. Digital signal processing
23. Document processing and retrieval
24. Fault-tolerant computing
25. Formal logic
26. Fuzzy logic and applications
27. Information and coding theory
28. Logic in computer science
29. Multi-dimensionalsearch and computational geometry
30. Neural networks and applications
31. Optimization techniques
32. Parallel processing: architectures and algorithms
33. Pattern recognition and image processing
34. Probability and stochastic processes
35. Topics in algorithms and complexity
36. VLSI design and algorithm

Compare this course with other similar courses
See all