Courses

Courses

M. Sc. CS

M.Sc. Computer Science Courses Details

Admission criterion for M.Sc. Computer Science by papers

For admission to M.Sc. Computer Science the following conditions will apply:

  1. There will be 20 sets per batch. All the admission will be on merit (i.e. percentage of aggregate marks secured for the qualifying examination), Reservation criterion should be followed as prescribed by government at the time of admission.
  2. The students who have passed following Degree examination are eligible for admission to M.Sc. (Computer Science) Degree Course:
      1. B.Sc. Information Technology with minimum 45 percent marks.

    OR

      1. B.Sc. Computer Science with in 45 percent marks.

    OR

      1. BE in IT / Electronics. Telecom / Computer Science with minimum 45 percent marks.

    OR

    1. B.Sc. (old course) Degree examination with the combination of following subjects:
Major Ancillary
Mathematics Mathematics
OR
Physics Mathematics
OR
Statistics Mathematics

Registration as postgraduate student: Every candidate admitted for M.Sc. CS will have to register as a postgraduate student of Mumbai University.

The syllabus proposes four subjects for each of the semester, Each subject has theory as well as practical components. The theory component offers 4 credits and practical component offers 2 credits. Thus, each semester is of 24 credits. The four subjects in the first semester are Principles of Compiler Design – I, Digital Signal Processing I, Mobile Computing, and Date warehousing and mining. The second semester offers Principles of Compliles Design – II, Digital Signal Processing – II, Compuler Simulation and Modelling, and Advanced Database Systems. Each of the theory paper has five units and is expected to cover in 60 lecture periods. Each of the practical paper is of 60 hours duration.

M.Sc. (Computer Science) based on Credit and Grading System

Semester – I

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSCS101 Analysis of Algorithms & Researching Computing 60 04 I 60 02 06
PSCS102 Advanced Networking Concepts 60 04 II 60 02 06
PSCS103 Advanced Database Systems 60 04 III 60 02 06
PSCS104 Robotics and Artificial Intelligence 60 04 IV 60 02 06
Total for M.Sc. Semester – I – – – – – 24

Semester – II

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSCS201 Advanced Operating Systems 60 04 V 60 02 06
PSCS202 Design and Implementation of Modern Compiler 60 04 VI 60 02 06
Elective I (Select One) 60 04 VII 60 02 06
PSCS2031 Track A: Cloud Computing (Concepts and Design of Web Services)
PSCS2032 Track B: Cyber and information Security (Network Security)
Elective II (Select One) 60 04 VII 60 02 06
PSCS2041 Track C: Business Intelligence and Big Data Analytics (Business)
PSCS2042 Track D: Machine Intelligence (Fundamentals of Machine Intelligence)
Total – 16 – – 08 24

The syllabus propose four papers and Project Based Learning Component consisting of a project to be done in Semester IV. Each Paper in Semester III and IV has theory as well as practical component consisting of 4 credits for theory and 2 credits practical.

Thus, Semester III is of 24 credits, Semester IV has an additional Component of project having 6 credits. Thus Semester IV has in all 30 (24+6) credits. Each of the theory courses has four units and is expected to cover in 60 lectures period. Each of the Practical courses is of 60 hours.

Semester — III

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSCS301 Artificial Intelligence 60 04 PSCSP301 60 02 06
PSCS302 Distributed Computing 60 04 PSCSP302 60 02 06
Elective I (Select One) 60 04 60 02 06
PSCS3031 Parallel Processing PSCSP3031
PSCS3032 System Security PSCSP3032
PSCS3033 Enterprise Networking PSCSP3033
PSCS3034 Fuzzy Logic and Neural PSCSP3034
PSCS3035 Natural Language PSCSP3035
Elective II (Select One) 60 04 60 02 06
PSCS3041 Pattern Recognition PSCSP3041
PSCS3042 Virtual Reality and Virtual Environment PSCSP3042
PSCS3043 Bio Informatics PSCSP3043
PSCS3044 Optimization Techniques PSCSP3044
PSCS3045 Principles of Robotics Programming —I PSCSP3045
Total 16 08 24

Semester — IV

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSCS401 Artificial Intelligence 60 04 PSCSP401 60 02 06
PSCS402 Distributed Computing 60 04 PSCSP402 60 02 06
Elective I (Select One) 60 04 60 02 06
PSCS4031 Parallel Processing PSCSP4031
PSCS4032 System Security PSCSP4032
PSCS4033 Enterprise Networking PSCSP4033
PSCS4034 Fuzzy Logic and Neural PSCSP4034
PSCS4035 Natural Language PSCSP4035
Elective II (Select One) 60 04 60 02 06
PSCS4041 Pattern Recognition PSCSP4041
PSCS4042 Virtual Reality and Virtual Environment PSCSP4042
PSCS4043 Bio Informatics PSCSP4043
PSCS4044 Optimization Techniques PSCSP4044
PSCS4045 Principles of Robotics Programming —I PSCSP4045
PSCS405 Project Work 100 06 06
Total 16 14 30

Fee Structure for M.Sc. Computer Science

M. Sc. IT

M.Sc. Information Technology Course Details

The subject of Information Technology is one of the important application tool be which can be applied to different areas in teaching, training and learning which is considered to be important in terms of human resource development, Information Processing and Decision Making which enhances the development of a Nation. Information Technology as an application science is studies to be applied for other areas, right from Mathematics to other basic sciences, applied sciences, social sciences and each and every aspect of human life.

The main aim of the course is to focus on the technological tools and concepts available and how they can be applied to the developmental processes. The various concepts include Simulation, Mobile Computing, Networking, Artificial Intelligence, Distributed Computing, Multimedia, Data warehousing, Data mining, Digital Image Processing, Digital Signal Processing, Speech Recognition, Software Architecture and so on.

Information technology Experts are very much required right from academic institutions, Research and Development to Industries both Public and Private Sectors. The two year programme of M.Sc. (Information Technology) is prescribed according to the credit system of University of Mumbai from the academic yeat 2012-13. The course has been divided in to four semester. The programme has a total 16 theory papers, and four in each semester. The programme is designed to provide students a focused elaborate training in Information Technology concepts and tools as well as exposing them to the advanced fields. In addition to theoretical knowledge, significant emphasis has been given to provide hands on experience to the students in the frontier areas of Information Technology. A multidisciplinary approach has been employed to provide best leverage to students to enable them move into advanced and frontier areas of interdisciplinary research in the future.

Admission criterion for M.Sc. Information Technology by papers

For admission to M.Sc.lT. the following conditions will apply:

  1. There will be 20 sets per batch. All the admission will be on merit (i.e. percentage of aggregate marks secured for the qualifying examination). Reservation criterion should be followed as prescribed by government at the time of admission.
  2. The students who have passed following B.Sc. Degree examination to Mumbai University or any recognized university are eligible.

B.Sc. Information Technology with minimum 45 percent marks.

OR

B.Sc. Computer Science with in 45 percent marks.

OR

B.Sc. with minimum 45 percent marks.

OR

BE in IT/Electionics. Telecom/Compurer Science with minium 45 percent marks.

Registration as postgraduate student: Every candidate admitted for M.Sc.lT. will have to register as a postgraduate student of Mumbai University.

M.Sc. (Information Technology) based on Credit and Grading System

Semester – I

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSIT101 Data Mining 60 04 PSIT1P1 60 02 06
PSIT102 Distributed System 60 04 PSIT1P2 60 02 06
PSIT103 Data Analysis Tools 60 04 PSIT1P3 60 02 06
PSIT104 Software Testing 60 04 PSIT1P4 60 02 06
Total – – 24

Semester — II

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSIT201 Mobile Computing 60 04 PSIT2P5 60 02 06
PSIT202 Advanced Computer Networks 60 04 PSIT2P6 60 02 06
PSIT203 Cloud Computing and Ubiquitous System 60 04 PSIT2P7 60 02 06
PSIT204 Advanced Database Systems 60 04 PSIT2P8 60 02 06
Total – – – 24

Semester — III

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSIT301 Embedded Systems 60 04 PSIT3P1 60 02 06
PSIT302 Information Security Management 60 04 PSIT3P2 60 02 06
Elective 1 60 04 Elective 1 60 02 06
PSIT303a Virtualization PSIT3P3a
PSIT304b Artificial Neural Networks PSIT3P3b
Elective 2 60 04 Elective 2 60 02 06
PSIT304a Digital Image Processing PSIT3P4a
PSIT304b Ethical Hacking PSIT3P4b

Semester —IV

Paper Code Paper Nomenclature Lectures Credit Pract. Paper Hrs. Credit Total Credit
PSIT401 Artificial Intelligence 60 04 04
PSIT402 IT Infrastructure Management 60 04 04
Elective 1 60 04 Elective 1 60 02 06
PSIT403a Intelligent Systems PSIT4P3a
PSIT403b Real Time Embedded Systems PSIT4P3b
PSIT403c Computer Forensics  PSIT4P3c
Elective 2 60 04 Elective 2 60 02 06
PSIT404a Design of Embedded Control Systems PSIT4P4a
PSIT404b Advanced Image Processing PSIT4P4b
PSIT404c Cloud Management  /td> PSIT4P4c
PSIT405 Project 02 PSIT4P5 02 04

Total credits for M.Sc. Part II=(Sem III- 24 and sem IV-24) = 48

Evaluation: The students will be evaluated externally. The external evaluation will be done by the committee appointed by the University norms. Standard of passing and scale as per the university norms.

Fee Structure for M.Sc. Information Technology

  • Fees are subject to modification as per University Rules.
  • Fees will be accepted in the form of Demand Draft / Pay Order from Nationalised Banks favouring ’PRINCIPAL A.V. COLLEGE, VASAI ROAD.’

M. Com.

M.Com. (Advance Fin. Accountancy) Course Details

Semester – I

Group Course Title Course Code
Compulsory Courses
11 Strategic Management MGP1FSI-1
12 Economic of Global Trade and Finance MGP1FSI-2
Optional Courses
Accountancy
51 Advanced Financial Accounting MAAFSI-3
52 Advanced Cost Accounting MAAFSI-4

Semester – II

Group Course Title Course Code
Compulsory Courses
11 Strategic Management MGP2FSII-1
12 Economic of Global Trade and Finance MGP2FSII-2
Optional Courses
Accountancy
51 Advanced Financial Accounting MAAFSII-3
52 Advanced Cost Accounting MAAFSII-4

Semester – III

Group Course Title Course Code
Compulsory Courses
11 Research Methodology MGPSSSIII-1
Optional Courses
Advanced Accountancy
43 Advanced Financial Accounting MAASSSIII-2
44 Advanced Auditing MAASSSIII-3
45 Related Applied Component Direct & Indirect Tax MAASSSIII-4

Semester – IV

Group Course Title Course Code
Compulsory Courses
11 Research Methodology MGPSSSIV-1
Optional Courses
Advanced Accountancy
43 Advanced Financial Accounting MAASSSIV-2
54 Advanced Auditing MAASSSIV-3
45 Related Applied Component Direct & Indirect Tax MAASSSIV-4

Fee Structure for M.Com

M. A. History

M.A. History Course Details

Semester – I

Paper Paper Code Subject Name
I PAHIS101 History Of India Concept & Theory
II PAHIS102 Indian National Movement(1857 A.D. To 1947 A.D.)
III PAHIS103 History Of Asia(1900 A.D. To 1997 A.D.)
IV PAHIS104 History Of Modern China(1949 A.D. To 1997 A.D.)

Semester – II

Paper Paper Code Subject Name
I PAHIS201 History Of India Concept & Theory
II PAHIS202 Indian National Movement(1857 A.D. To 1947 A.D.)
III PAHIS203 History Of Asia(1900 A.D. To 1997 A.D.)
IV PAHIS204 History Of Modern China(1949 A.D. To 1997 A.D.)

Semester – III

Paper Paper Code Subject Name
V PAHIS301 Historical Method
VI PAHIS302 Philosophy Of History
VII PAHIS303 History Of The U.S.A(1860 To 1990)
VIII PAHIS304 History Of International Security & Organization(1950 To 2000)

Semester – IV

Paper Paper Code Subject Name
V PAHIS401 Historical Method
VI PAHIS402 Philosophy Of History
VII PAHIS403 History Of The U.S.A(1860 To 1990)
VIII PAHIS404 History Of International Security & Organization(1950 To 2000)

Fee Structure for M.A. History

  • Fees are subject to modification as per University Rules.
  • Students admitted in unaided division will be charged extra fee as directed by University and approved by Management

M. A. Economics

M.A. Economics Course Details

Semester – I

Paper Paper Code Subject Name
I EC101 Micro Economics
II EC102 Macro Economics
III EC103 Agricultural Economics
IV EC107 International Economics

Semester – II

Paper Paper Code Subject Name
I EC201 Micro Economics
II EC202 Macro Economics
III EC203 Agricultural Economics
IV EC207 International Economics

Semester – III

Paper Paper Code Subject Name
I EC301 Development Economics
II EC302 Public Economics
III EC303 Agricultural Economics
IV EC307 International Economics

Semester – IV

Paper Paper Code Subject Name
I EC401 Development Economics
II EC402 Public Economics
III EC403 Agricultural Economics
IV EC407 International Economics

Fee Structure for M.A. Economics

Faculties

Faculties

Post Graduation Faculties

M.A (Marathi)

  • Dr. S.Phad – M.A., B.Ed., M.Phil., Ph.D., NET
  • Prof. Anjali Dashputre Naik (Visiting Faculty) – M.A., M.Phil., Ph.D.
  • Prof. Neha Sawant (Visiting Faculty) – M.A., M.Phil.
  • Prof. S.Dakhore – M.A., Bed., NET
  • Dr. Harishandra Thorat (Visiting Faculty) – M.A., M.Phil., Ph.D.
  • Prof. S. Auti – M.A., M.Phil., SET
  • Prof. Uday Rote (Visiting Faculty) – M.A., B.Ed.
  • Prof. Ranjita Virkar (Visiting Faculty) – M.A., M.Phil., SET, NET
  • Prof. Pradeep Patil (Visiting Faculty) – M.A., SET, NET
  • Dr. Baba Patil (Visiting Faculty) – M.A., Ph.D.
  • Prof. Padmaja Kulkarni (Visiting Faculty) – M.A., M.Phil.

M.Sc (CS.)

  • Prof. Sushma Brahmankar
  • Prof. Dorris Gonsalves
  • Prof. Greenal Rodrigues
  • Prof. Greta Dabre
  • Prof. Pallavi Ahire
  • Prof. Gyaneshwari Pawar
  • Prof. Shital Rode

M.Sc (IT.)

  • Prof. Supriya Mhatre
  • Prof. Swetha Iyer
  • Prof. Sayali Birje
  • Prof. Srimathi Narayanan
  • Prof. Dorris Gonsalves
  • Prof. Sushma Brahmankar
  • Prof. Pradnya D’Souza
  • Prof. Greta Dabre

M.A. (History)

  • Prof. Ashwini Patange
  • Prof. Geeta Dakhore
  • Prof. Latika Patil
  • Prof. Shubangi Deshmukh
  • Prof. Sudhir Saindane
  • Prof. Vivek Chaubey

M.A (Economics)

  • Prof. Savitri Kesariya
  • Dr. G.C. Savagaon
  • Prof. Fauziya Patel
  • Dr. Satyashree

M.Com (Advanced Accountancy)

  • Dr. Abhilasha Magar
  • Dr. B. R. Honparkhe
  • Prof. Amar Madia
  • Prof. Amrita Jadhav
  • Prof. Piyush Rana
  • Prof. Savitri Kesariya
  • Prof. Bhavana Chauhan