Master of Computer Application (MCA)

Preamble:

Preamble:

1. The name of the programme shall be Master of Computer Application (M.C.A)
2. The revised MCA Curriculum 2024 builds on the implementation of the Choice Based Credit System (CBCS). The curriculum takes the MCA programme to the next level in terms of implementing National Education Policy (NEP) and Outcome Based Education (OBE) along with the CBCS and Grading System.
3. The Institutes should assist in placements for M.C.A. students by interacting with Industries. Institute’s placement cell should focus on identifying industrial expectations and institutional preparation for meeting industrial needs.
4. Industry and academia should identify possible areas of collaboration and work together to cater to the rapidly changing scenario.
5. During each semester students can attempt to complete various certifications for better opportunities in the industry.

MCA Programme Outcomes (POs): At the end of the MCA programme the learner will possess the following Program Outcome:

Introduction:

1. Definition: Outcome Based Education: 1.1 Outcome Based Education (OBE) Approach: Outcomes are about performance, and this implies:
   1.1.1 There must be a performer – the student (learner), not only the teacher
   1.1.2 There must be something performable (thus demonstrable or assessable) to perform
   1.1.3 The focus is on the performance, not the activity or task to be performed
   1.2 Programme Educational Objectives (PEOs): Programme educational objectives are broad statements that describe the career and professional accomplishments that the programme is preparing graduates to achieve. Programme Educational Objectives are a set of broad future focused learner’s performance outcomes that explicitly identify what learners will be able to do with what they have learned, and what they will be like after they leave institution and are living full and productive lives. Thus, PEOs are what the programme is preparing graduates for in their career and professional life (to attain within a few years after graduation).
   1.3 Programme Outcomes (POs): Programme Outcomes are a set of narrow statements that describes what students (learners) of the programme are expected to know and be able to perform or attain by the time of graduation.
   1.4 Course Outcomes (COs): Course Outcomes are narrower statements that describe what students are expected to know and be able to do at the end of each course. These relate to the skills, knowledge, and behavior that students acquire in their matriculation through the course.
   1.5 Learning Outcomes: A learning outcome is what a student CAN DO because of a learning experience. It describes a specific task that he/she can perform at a given level of competence under a certain situation. The three broad types of learning outcomes are: a) Disciplinary knowledge and skills b) Generic skills c) Attitudes and values
   1.6 Teaching and Learning Activities (TLAs): The set of pedagogical tools and techniques or the teaching and learning activities that aim to help students to attain the intended learning outcomes and engage them in these learning activities through the teaching process.
   1.7 Assessment and Evaluation: Assessment is one or more processes, carried out by the institution, that identify, collect, and prepare data to evaluate the achievement of programme educational objectives and programme outcomes. Evaluation is one or more processes, done by the evaluation team, for interpreting the data and evidence accumulated through assessment Curriculum for First Year MCA (Pattern 2024) - Savitribai Phule Pune University practices evaluation determines the extent to which programme educational objectives or programme outcomes are being achieved, and results in decisions and actions to improve the programme.

2. MCA Programme Focus: The basic objective of the Master of Computer Application (MCA) is to provide a steady stream of necessary knowledge, skills and foundation for acquiring a wide range of rewarding careers into rapidly expanding world of Information Technology
   2.1 Programme Educational Objectives: PEOs are defined by institution. Following are the guidelines for defining PEOs
   2.1.1 PEOs should be assessable and realistic within the context of the committed resources.
   2.1.2 The PEOs should be consistent with the mission of the institution.
   2.1.3 All the stakeholders should participate in the process of framing PEOs.
   2.1.4 The number of PEOs should be manageable.
   2.1.5 It should be based on the needs of the stakeholders.
   2.1.6 It should be achievable by the programme.
   2.1.7 It should be specific to the programme and not too broad.
   2.1.8 It should not be too narrow and similar to the POs.
   

BRIDGE COURSE

Bridge courses can be considered as supplementary knowledge that can be provided to students to teach basic knowledge in them about the advanced subjects that will be taught to them in the tenure of the course. A Bridge Course for newly admitted students is conducted every year before the commencement of the first semester classes. The main objective of the course is to bridge the gap between subjects studied at Post graduation level and subjects that they would be studying in the Graduation level. The syllabus for the course is framed in such a way that they get basic knowledge on the subjects which they would be learning through graduation.

Employability Enhancement Programme (EEP)

The rapid change in economy calls for quick implementation of those changes. Today’s manager needs to have multiple skills right from advanced computer knowledge, communication skills, soft skills, administrative skills and many more. Suryadatta organises Employability Enhancement programmes through expert agencies for the students to enhance the required skills in them. Some of the EEP programs done during last two years are:

“Connect with Work” Program –Improving the employability skills:

1)Get trained by Corporate Trainers 2)Enhance your Soft skills 3)Improve chance of success in interviews.

Life Skills training:1)Organizational Culture 2)Public Speaking 3)Presentation Skills 4)E-mail Etiquettes 5)Grooming 6)Group Discussion 7)Personal Interview 8)Outbound Training

Preparations for Campus Recruitment Process (CRP)

1.Collection & Studying Profiles of Students 2.Soft Skills Training 3.Software Development Projects 4.Industry S / W Projects 5.Value Added Certifications 6.Intensive Grooming Sessions for Employability Enhancement 7.Feedback from Recruiters

Admission Details:

Eligibility for Admission: The eligibility criteria for admission for the MCA course will be as decided by the All Indian Council of Technical Education (AICTE), New Delhi and Directorate of Technical Education (DTE), Government of Maharashtra. It will be published on their respective websites time to time. The current eligibility norms are :

(i) The candidate should be an Indian National;

(ii) Passed BCA or Bachelor Degree in Computer Science Engineering or equivalent Degree and obtained at least 50% marks in aggregate (at least 45% in case of candidates of Backward Class categories, economically weaker section and Persons with Disability category belonging to Maharashtra State);

Or

(ii) Passed B.Sc. or B.Com. or B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University) and obtained at least 50% marks in aggregate (at least 45% in case of candidates of Backward Class categories, economically weaker section and Persons with Disability category belonging to Maharashtra State);

(iii) Obtained non zero positive score in MAH-MCA-CET 2020.

Reservation of Seat: As per the norms given by Government of Maharashtra, time to time.

Selection Basis: The selection would be done as per the guidelines given by the Director of Technical Education, Maharashtra State, time to time through Centralised Admission Process

Structure of the Programme and detail syllabus of each course:

MCA Semester I
Sr. No.	Course Title	Course Code	CP	EXT	INT
1	Python Programming	PPR501MJ	3	45	30
2	Data Structure and Algorithms	DSA502MJ	3	45	30
3	Advanced DBMS	ADB503MJ	3	45	30
4	Business Statistics	BST504MJ	3	45	30
5	Software Engineering and Project Management	SEP505MJ	3	45	30
6	Elective – I (Select any one from following)
	Fundamentals of Cloud Computing	FCC510MJ	3	45	30
	Web Development	WDE511MJ	3	45	30
	Fundamental of Data Science	FDS512MJ	3	45	30
	Introduction to Cyber Security	ICE513MJ	3	45	30
7	Practical based on Python and DS	PBP506MJP	3	-	50
8	Mini Project	MP541MP	3	-	50
9	Soft Skills – I	SSI507MJ	1	-	25
10	IKS-I	IKS508MJ	1	-	25
Semester-I Total			26	270	330

MCA Semester II
Sr. No.	Course Title	Course Code	CP	EXT	INT
1	Java Programming	JPR551MJ	3	45	30
2	Optimization Techniques	OTE552MJ	3	45	30
3	Software Testing and Quality Assurance	STQ553MJ	3	45	30
4	Research Methodology	RMW554MJ	3	45	30
5	Elective - II (Select any one from following)
	Cloud Computing Management and Security	CCM560MJ	3	45	30
	JavaScript	JS561MJ	3	45	30
	Machine Learning Techniques	MLT562MJ	3	45	30
	Essentials of Cyber Security	ECS563MJ	3	45	30
6	Elective - III (Select any one from following)
	Essentials of Cloud Computing and Security	ECS564MJ	3	45	30
	Advance Web Development	AWD565MJ	3	45	30
	Power BI	PBI566MJ	3	45	30
	Essentials of Information Security	EIS567MJ	3	45	30
7	Practical based on Java	PBJ555MJP	3	-	50
8	Mini Project	MP581MP	3	-	50
9	Soft Skills – II	SSK556MJ	1	-	25
10	IKS-II	IKS557MJ	1	-	25
Semester-II Total			26	270	330

MCA Semester III
Sr. No.	Course Title	Course Code	CP	EXT	INT
1	Organizational Behaviour	OBE601MJ	3	45	30
2	Design and Analysis of Algorithm	DAA602MJ	3	45	30
3	Elective - IV (Select any one from following)
	Cloud API's and Services	CAS610MJ	3	45	30
	Mobile Application Development	MAD611MJ	3	45	30
	Tableau	TAB612MJ	3	45	30
	End-Point Security	EPS613MJ	3	45	30
4	Elective - V (Select any one from following)
	Cloud Migration and Management	CMM614MJ	3	45	30
	MERN Stack Development	MSD615MJ	3	45	30
	Deep Learning	DEL616MJ	3	45	30
	Ethical Hacking	EH617MJ	3	45	30
5	Elective - VI (Select any one from following)
	Enterprise Resource Planning (ERP)	ERP618MJ	3	45	30
	E-Commerce	EC619MJ	3	45	30
	Social Media Marketing	SMM620MJ	3	45	30
	Innovation and Entrepreneurship Development	IED621MJ	3	45	30
6	Practical based on Electives IV and V	PBE603MJP	3	-	50
7	Research Project	RP641RP	6	-	100
8	Soft Skills - III	SSK604MJ	1	-	25
Semester-III Total			25	225	325

MCA Semester IV
Sr. No.	Course Title	Course Code	CP	EXT	INT
1	Internship / Project Work (FP/OJT)	IPW681FP	12	270	180
2	MOOC - I	MOO682MJ	3	-	50
3	MOOC - II	MOO683MJ	3	-	50
Semester-IV Total			18	270	280

Semester	Credit Points	UE	IE
Semester I	26	270	330
Semester II	26	270	330
Semester III	25	225	325
Semester IV	18	270	280
Total	95	1035	1265
Total Marks			2300