Overview :
The Master of Computer Applications Programme (MCA) is a 2-year programme offered by Bharati Vidyapeeth (Deemed to be University) (BVDU), Pune and conducted in Distance mode at CDOE under BV(DU). The Learner Support Centers are based in Pune, Delhi, Mumbai, Karad, Kolhapur, Sangali, and Solapur. All the Learner Support Centers has excellent faculties, laboratories, library, and other facilities to provide a virtual learning environment. The University is reaccredited by NAAC with an ‘A+’ grade (3rd cycle). The expectations and requirements of the software industry, immediately and soon, are visualized while designing the MCA programme.
Objectives of the course:
- Promote outcome-based learning strategies to meet global industry standards.
- Encourage innovations and problem-solving capabilities in students and faculty.
- Cultivate collaborative research in both students and faculty members through industry interactions and collaborations.
- Enhance entrepreneurship skills among students.
Program Details
Admission to the MCA (Distance) programme is open to any Graduate (10+2+3) of any recognized
University satisfying the following conditions.
- Passed BCA/ bachelor’s degree in computer science, engineering, or equivalent Degree. OR Passed
B.Sc./ B.Com./ B.A. with additional bridge Courses (Bridge Course I/ Bridge Course II) as per the
norms of the University.
OR
Passed any graduation degree (e.g. BE/ BTech/ BSc/BCom/BA/B.Voc/ etc) preferably with
mathematics at 10+2 level or at Graduation Level. - The candidate should have secured at least 50% marks (45% for SC/ST) in aggregate at graduate
level university examination. - For students having no Mathematics background compulsory bridge course framed by the Bharati
Vidyapeeth (Deemed to be University) and additional bridge course related to computer subjects
should be completed - For students having No IT background compulsory bridge course framed by the Bharati
Vidyapeeth (Deemed to be University) related to computer subjects should be completed. - The candidate studying in final year of bachelor’s degree may also apply. Admission of such
candidates will remain provisional until submission of result certificates in original. - Subject to the above conditions, the final admission of final admission is based solely on –
a. The merit at All India Entrance Test conducted by Bharati Vidyapeeth (Deemed to be
University), Pune.
b. Submission of Migration Certificate, Transfer Certificate, anti-ragging affidavit etc.
Minimum – 2 Years
Maximum – 4 Years
F.Y.MCA: Semester I
|
Code |
Name of the Subjects |
Credits |
IA |
UE Marks |
|
UE |
UE |
|||
|
101 |
Applied Database Management Systems |
04 |
30 |
70 |
|
102 |
Computer Networks |
04 |
30 |
70 |
|
103 |
Java Programming |
04 |
30 |
70 |
|
104 |
Computational Statistics |
04 |
30 |
70 |
|
105 |
Management Concepts andApplications |
03 |
30 |
70
|
|
106 |
Lab on Applied Database |
03 |
30 |
70 |
|
107 |
Lab on Java Programming |
03 |
30 |
70 |
|
108 |
MOOCS-I * |
04 |
30 |
70 |
|
109 |
Open Course-I ** |
02 |
50 | - |
|
Total No. of Credits |
32 |
260 |
490 |
*Student must complete MOOCS II compulsory [Please refer MOOCS guidelines as per point no. X]
** Student can select any one of the following courses as Open Course - I in consultation
with HOD/Coordinator
|
Sr. No. |
(109) Open course – I |
|
1 |
Universal Human Values (UHV) |
|
2 |
Cyber Security |
|
3 |
Soft Skills |
F.Y.MCA: Semester II
|
Code |
Name of the Subjects |
Credits |
IA |
UE Marks |
|
UE |
UE |
|||
|
201 |
Object Oriented Software Engineering |
04 |
30 |
70 |
|
202 |
Cloud Computing Concepts |
04 |
30 |
70 |
|
203 |
Data structures using Python |
04 |
30 |
70 |
|
204 |
Data Warehousing and Data Mining |
04 |
30 |
70 |
|
205 |
Web Supporting Technologies |
04 |
30 |
70
|
|
206 |
Lab on Data Structures using Python |
03 |
30 |
70 |
|
207 |
Minor Project – 1 |
03 |
- |
100 |
|
208 |
MOOCS-II * |
04 |
- |
- |
|
209 |
Open Course-II** |
02 |
50 | - |
|
Total No. of Credits |
32 |
230 |
520 |
*Student must complete MOOCS II compulsory [Please refer MOOCS guidelines as per point no. X]
** Student can select any one of the following courses as Open Course - I in consultation
with HOD/Coordinator
|
Sr. No. |
(109) Open course – II |
|
1 |
Foreign Language |
|
2 |
Digital Technology |
|
3 |
Human Psychology at Workplace |
S.Y.MCA: Semester III
|
Code |
Name of the Subjects |
Credits |
IA |
UE Marks |
|
UE |
UE |
|||
|
301 |
Software Design Patterns |
04 |
30 |
70 |
|
302 |
Artificial Intelligence |
04 |
30 |
70 |
|
303 |
Information Security |
04 |
30 |
70 |
|
304 |
EL-GRP-1 (A) |
03 |
100 |
- |
|
EL-GRP-2 (A) |
03 |
100 |
- |
|
|
306 |
Lab on Software Testing |
03 |
30 |
70 |
|
307 |
Minor Project – 2 |
03 |
00 |
100 |
|
308 |
MOOCS-III * |
04 |
- |
- |
|
309 |
Open Course-III ** |
02 |
50 | - |
|
Total No. of Credits |
30 |
370 |
380 |
*Student must complete MOOCS II compulsory [Please refer MOOCS guidelines as per point no. X]
** Student can select any one of the following courses as Open Course - I in consultation
with HOD/Coordinator
|
Sr. No. |
(309) Open course – III |
|
1 |
Social Change in Technology |
|
2 |
Water Management |
|
3 |
Economics for IT Industry |
S.Y.MCA: Semester IV
|
Code |
Name of the Subjects |
Credits |
IA |
UE Marks |
|
401 |
Seminar on Recent Trends in IT# |
04 |
- |
100 |
|
402 |
El-GRP - 1 (B) |
03 |
100 |
- |
|
403 |
El-GRP –2 (B) |
03 |
100 |
- |
|
404 |
Major Internship Project |
10 |
- |
100 |
|
Total No. of Credits |
20 |
200 |
200 |
LIST OF SPECIALIZATION – ELECTVES
|
Elective |
Elective Group |
Subject Code |
Subjects |
|
01 |
Cloud Computing |
A |
Virtualization |
|
B |
AWS |
||
|
02 |
Data Science |
A |
Statistical Programming in R |
|
B |
Introduction to Data Science |
||
|
03 |
Linux |
A |
Linux Desktop Environment, Shell Programming and System Administration |
|
B |
Linux Internals and Network Administration |
||
|
04 |
Open-Source Technologies |
A |
Perl Scripting |
|
B |
Ruby |
||
|
05 |
Mobile Computing |
A |
Java Script |
|
B |
Android |
||
|
06 |
Dot Net Technologies |
A |
C# Programming and Applications |
|
B |
ASP Dot Net with MVC |
||
|
07 |
Net Centric Technologies |
A |
HTML 5 |
|
B |
AJAX Programming |
||
|
08 |
Information Systems |
A |
Recommender System |
|
B |
Knowledge Management |
||
|
09 |
IOT |
A |
IoT Architecture Sensors and Fundamentals with Hands-on lab |
|
B |
Internet Of Things: Sensing And Actuator Devices and Smart city use case |
||
|
10 |
Big Data |
A |
Introduction to Big Data |
|
B |
Business Intelligence Tools With Hadoop |
||
|
11 |
Cyber Security |
A |
Introduction to Information Security |
|
B |
Information Security Threats and Mitigation Strategies |
||
|
12 |
Data Management |
A |
Data Management Environment |
|
B |
Industrial Data Management and Security |
