COMPUTER ENGINEERING (BIG DATA AND ANALYTICS - BTECH)

Overview

In simple terms, Big Data represents the information assets characterized by such a high volume, velocity, and variety to require specific technology and analytical methods for its transformation into value. Big Data consists of aspects such as,‎

‎

Machine Learning and AI‎
‎

Digital Footprint‎
‎

Statistics‎
‎

Business Intelligence‎

‎Big Data techniques can be used to process a large set of data, data which is otherwise largely useless (unless it is interpreted and processed properly). The interpreted data can then be used for various purposes such as – strategic planning, R&D, education, governance, etc. Its applications are many. It covers (but is not limited to) the following domains –‎

‎

Education‎
‎

Business‎
‎

Marketing and Sales‎
‎

Military and Governance‎
‎

Research and Development‎
‎

Healthcare‎
‎

Manufacturing‎
‎

Media‎
‎

Internet of Things‎
‎

IT and CS

Educational
Objectives

More and more organizations these days use a Decision Support System (DSS) and build data-intensive products and services which require expertise in data analytics. Marwadi University is the first in the region to offer UG specialization in the domain of Big Data Analytics. Big Data Analytics is a very recent trend in the field of Computer Engineering. By looking at the tremendous demand in this field, Marwadi University has taken a giant step by starting specialization in Big Data Analytics. Students having dominant skills in this domain are also in demand in all giant IT companies.

So, the main objectives of BTech with Big Data Analytics specialization is

Develop an in-depth understanding of the key technologies in data science and business analytics

Apply principles of Data Science to the analysis of business problems.

Use data analysis software to solve real-world problems.

Frame and use appropriate models of Big Data analysis to solve real-life problems related to society.

To fulfill these objectives MARWADI UNIVERSITY – the Best Computer Engineering-BDA College in Rajkot has well-equipped labs with state-of-the-art infrastructure, digital workstations with the latest configurations and required software. Structures Lab, C Programming Lab, Internet Lab, Computer Networking Lab, Project Lab are some of the key places that impart practical knowledge and technical skills in the hands of the students. The Computer Engineering-BDA department has a highly qualified and experienced pool of faculty members who are ready to support students in their development in all dimensions.

Eligibility Criteria

For Indian and International Students
12th (HSc) in Science with a minimum of 45%. They should have appeared in GUJCET and should be registered under ACPC. Equivalent Qualification is required for international students

Admission Process

Through Admission Committee for Professional Courses (ACPC)

Once you generate the PIN from the bank through online or offline process,

Register yourself on

https://admission.marwadiuniversity.ac.in:553

Fill the Application Details

Choice Filling

Mock Rounds
(1, 2, 3..)

You’re on the path to DISCOVER yourself

Reporting at College

Actual Admission and Token Fee Payment

Admission Process

Through Admission Committee for Professional Courses (ACPC)

Once you generate the PIN from bank through online or offline process

https://application.marwadiuniversity.ac.in/

Fill the
Application
Details

Choice
Filling

Mock
Rounds
(1, 2, 3..)

Actual
Admission
and Token
Fee Payment

Reporting at
College

You’re on the
path to DISCOVER
yourself

Fee structure

The Bachelors of Technology in Computer Engineering – Big Data and Analytics is a 4 year course comprising eight semesters.

For Indian Student (INR)
Computer Engineering (Big Data & Analytics)	4 Years	62500/- (Per Sem)

For International Student (USD)
Computer Engineering (Big Data & Analytics)	4 Years	1800/- (Annual)

Curriculum

Computer Engineering (Big Data & Analytics) Course Details

Sem 1

Sem 2

Sem 3

Sem 4

Sem 5

Sem 6

Sem 7

Sem 8

Sem 1

B. Tech. Year I, Sem I							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term Work (TW)	Total Marks
01MA1101	Differential and Integral Calculus	BS-UC	4	2	0	5	50	30	20	25	25	150
01ME0101	Elements of Mechanical Engineering	ES-UC	3	0	2	4	50	30	20	25	25	150
01EC0101	Basics of Electronics Engineering	ES-UC	3	0	2	4	50	30	20	25	25	150
01SL0102 / 01SL0103	Reading and Writing for Technology /Speaking and Presentation Skills	GN-UE	2	0	0	2	0	30	20	25	25	100
01EE0101	Elements of Electrical Engineering	ES-UC	3	0	2	4	50	30	20	25	25	150
01CR0103	Value Education	GN-UC	2	0	0	2	0	0	0	50	50	100
01CE0102	Computer Workshop	ES-UC	0	0	2	1	0	0	0	25	25	50
01PE0101	Physical Education/Sports/Yoga	NCC	0	0	2	0	0	0	0	0	0	0
	Total	29	17	2	10	22	200	150	100	200	200	850

Sem 2

B. Tech. Year I, Sem II							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term work (TW)	Total Marks
01MA1151	Matrix Algebra and Vector Calculus	BS-UC	4	2	0	5	50	30	20	25	25	150
01CE0101	Computer Programming	ES-UC	3	0	2	4	50	30	20	25	25	150
01ME0103	Engineering Drawing	ES-UC	2	0	4	4	50	30	20	25	25	150
01GS0101/ 01GS0102	Physics/Engineering Chemistry I	BS-UC	3	0	2	4	50	30	20	25	25	150
01EN0101	Basics of Environmental Studies	ES-UC	2	0	0	2	50	30	20	0	0	100
01EC0102	Digital Electronics	ES-UC	3	0	2	4	50	30	20	25	25	150
	Total	29	17	2	10	23	300	180	120	125	125	850

Sem 3

B. Tech. Year II, Sem III							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term Work (TW)	Total Marks
01AI0301	Probability and Statistics	BS-UC	4	2	0	5	50	30	20	25	25	150
01CE0301	Data Structure	PC	4	0	2	5	50	30	20	25	25	150
01CE1302	Database Management System	PC	3	0	2	4	50	30	20	25	25	150
01IT0301	Data Communication and Networking	PC	3	0	2	4	50	30	20	25	25	150
01CE0305	Programming with Python	PC	3	0	2	4	50	30	20	25	25	150
01CR0301	Professional Ethics	GN-UC	1	0	0	1	0	0	0	50	50	100
01CE0304	Design Thinking and Problem Solving Skills	EE	0	0	2	1	0	0	0	25	25	50
	Total	30	18	2	10	24	250	150	100	200	200	900

Sem 4

B. Tech. Year II, Sem IV							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term work (TW)	Total Marks
01CE0401	Operating System	PC	4	0	2	5	50	30	20	25	25	150
01CE0407	Big Data Essentials	PC	3	0	2	4	50	30	20	25	25	150
01IT0401	Computer Network	PC	4	0	2	5	50	30	20	25	25	150
01MA0231	Discrete Mathematics and Graph Theory	BS-UC	4	2	0	5	50	30	20	25	25	150
01CE0403	Object Oriented Programming with Java	PC	4	0	2	5	50	30	20	25	25	150
01CE0405	Human Centric Design Approach	EE	0	0	2	1	0	0	0	25	25	50
	Total	30	18	2	10	24	250	150	100	150	150	800

Sem 5

B. Tech. Year III, Sem V							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term Work (TW)	Total Marks
01CE0504	Theory of Automata & Formal Language-	PC	3	0	0	3	50	30	20	0	0	100
01AI0501	Advanced Java Programming	LC-CE	0	0	4	2	50	0	0	25	25	100
01AI0502	Artificial Intelligence	PC	3	0	2	5	50	30	20	25	25	150
01CE0503	Design and Analysis of Algorithms	PC	4	0	2	5	50	30	20	25	25	150
	Department Elective-2	PEC	4	0	2	5	50	30	20	25	25	150
01AI0503	Cloud Computing	LC-CE	0	0	4	2	50	0	0	25	25	100
01CE0508	Reverse Engineering	EE	0	0	2	1	0	0	0	25	25	50
	Course Enrollment Udemy/Udacity etc	EE				4						X
	Total	30	14	0	16	27	300	120	80	150	150	800

	Department Elective – 2 1) 01CE0507-Image Processing 2) 01IT0503– Advanced Computer Network 3) 01CE0604– Cyber Security

Sem 6

B. Tech. Year III, Sem VI							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term Work (TW)	Total Marks
01AI0601	Human Computer Interface	PC	3	0	2	4	50	30	20	25	25	150
01IT0601	Software Engineering	PC	3	0	2	4	50	30	20	25	25	150
01BD0601	Big Data Analytics and Mining	PC	3	0	2	4	50	30	20	25	25	150
01BD0602	Big Data Storage Management	PC	3	0	2	4	50	30	20	25	25	150
01CR0601	Business Benchmark	UC	1	0	0	1	0	0	0	50	50	100
01AI06XX	Department Elective – 3	PEC	3	0	2	4	50	30	20	25	25	150
01AI0606	Mathematics for Data Science	BS-UC	3	0	2	4	50	30	20	0	0	X
	Total	31	19	0	12	25	250	150	100	175	175	950

	Department Elective – 3 1) Block Chains-01AI0604 2) System and Network Security-01AI0605

Sem 7

B. Tech. Year IV, Sem VII							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term Work (TW)	Total Marks
01AI0701	Deep Learning	PC	3	0	2	4	50	30	20	25	25	150
01CE0601	Compiler Design	PC	3	0	2	4	50	30	20	25	25	150
01AI0702	Natural Language Processing	PC	3	0	2	4	50	30	20	25	25	150
01CE0XXX	Department Elective – 4	PEC	4	0	2	5	50	30	20	25	25	150
01AI0XXX	Department Elective – 5	PEC	4	0	2	5	50	30	20	25	25	150
01IT1703	Major Project-I	EE	0	0	8	4	0	0	0	50	50	100
	NPTEL/SWAYAM course Enrollment/MOOC/Udemy etc	EE				0	0	0	0	0	0	X
	Total	35	17	0	18	26	250	150	100	175	175	850

	Department Elective – 4 1. Android Programming (01CE0704) 2. Mobile Computing (01CE0701) 3. Business Intelligence (01CE0805)				Department Elective – 5 1. Internet Of things (01CE0806) 2. Computer Vision (01AI0703) 3. Virtual and Augmented Reality (01AI0704)

Sem 8

B. Tech. Year IV, Sem VIII							Evaluation Scheme
Subject Code	Subject Name	Category	Teaching Scheme (Hours)			Credits	Theory Marks			Tutorial/ Practical Marks		Total Marks
Subject Code	Subject Name	Category	Theory	Tutorial	Practical	Credits	ESE(E)	IA	CSE	Viva (V)	Term Work (TW)	Total Marks
01IT0801	Industrial Internship/Major Project-II	PC	0	0	18	9	0	0	0	200	200	400
	Total	18	0	0	18	9	0	0	0	0	0	400

Core Courses

Serial No.	Course name
1	Subjects related to Big Data like- Big Data Essentials
2	Big Data Storage and Management
3	Big Data Analytics and Mining.

Elective Courses

Serial No.	Course name
1	Machine Learning Essentials
2	Advanced Computer Network
3	Digital Image Processing
4	Cyber Security
5	Block Chain
6	System and Network Security
7	Android Programming
8	Mobile Computing
9	Business Intelligence
10	Internet Of things
11	Computer Vision
12	Virtual and Augmented Reality

Career Opportunities

“Data is useless without the skill to analyze it.”

After completing this course, a candidate will become adept at activities such as

Career Options

Student Outcomes

Marwadi University – Best Engineering College in Rajkot is equipped with latest machines and software with the aim of achieving the following student outcomes

Students will be able to realize the insight and challenge of Big Data and why current technology is insufficient to analyze the Big Data.

Students will be able to apply non-relational databases, the techniques for storing and processing huge volumes of structured and unstructured data.

Students will be able to understand the advantages that Big Data can offer to businesses and organizations

Students will be able to use current practices, skills, tools, and technologies required for computing practice.

Students will be able to recognize the challenges in Big Data with respect to the IT Industry and do quality research in this field.

Career Opportunities, Placement, Packages, Alumni

“Data is useless without the skill to analyze it.”

There is a gigantic amount of data moving around. What we do with it is all that matters right now. Therefore, Big Data Analytics is in the frontiers of IT. Big Data Analytics has become significant as it aids in the refining business, decision makings and providing the biggest benefit over the competitors. So, it is a growing demand for Data Analytics Professionals.
After completing this course, a candidate will become adept at activities such as
Big Data Development
Operating Big Data Tools
Database
Data Analytics
After completing this course you may find work at places such as
IT firms
Data Analytics firms
Marketing and Sales firms
R&D firms
Sports firms and more…

Key Highlight

Marwadi University is the first college to introduce this Vertical (CE-BDA) in the region.
Experienced Faculties, Industry Connects, Foreign Exchange Programmes.

Facilities

Lab

Oracle Lab

CISCO Lab

IBM Lab

Research & Development Lab

Basic Computing Lab

Advance Computing Lab

Networking Lab

Data Processing Lab

Object-Oriented Programming Lab

High-Performance Computing Lab

Software Engineering Lab

Project Lab

Library

There are two main libraries which make up the MU Learning Resource Centre. Specialist collections, use of up-to-date technology, and a team of enthusiastic and dedicated staff all combined to form a library which serves the Users of the Marwadi Education as well as contributes towards the research needs of the Institution, and is one of the best ICT-equipped academic libraries in the region.

Fully equipped with RFID (Radio Frequency Identification Device) Technology
Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources
Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities
Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms
Additional Transportation facility for special Late Evening & Sunday for Library users
More than 50000 books in the library

Scholarship

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Campus Facilities

Impressive Infrastructure
IT Enabled Infrastructure
Sports Infrastructure
State-of-the-art Classrooms
Hostels with Gymnasium
Library with 50000+ Books
Academic & Cultural Events

HOD's Message

Dr Madhu Shukla
HoD, Department of Computer Engineering – Big Data Analytics

We all perceive that business analytics careers are booming across the fields of IT, financial services, healthcare, and biotech. As we step into the age where ‘INTERNET OF THINGS – IoT’ will continue to grow rapidly in the coming years and analytics tools and techniques for dealing with the massive amounts of structured and unstructured data generated by IoT will continue to gain importance, Analytics will play an important role in data security. Analytics are already transforming intrusion detection, differential privacy, digital watermarking and malware countermeasures. Companies will voice their need to routinely monetizing their own data for financial gain

We will be witnessing a growth of Cognitive Analytics and the relevance of ‘Open Source Solutions’ will regain momentum.

All these will naturally boost demand for Data Scientists- a hunt for people who can balance quantitative analysis skills with an ability to tell the story of their data in compelling, visual ways. It would not be wrong to say that the demand in the Business Analytics market would grow at an impressive pace in the upcoming years.

You will work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and generate actionable insights. As part of our continuous focus on the real-world application of classroom learning, corporate partners visit the University for seminars giving you hands-on experience.

Your success matters. We connect you to a broad range of resources, such as the Department of Career Development which gives you a professional edge, offering you value-added workshops to bolster your experiential education and a Placement team supporting you in providing the right leads.

Enjoy the challenge to identify the right mix of technologies and then put the pieces together.

Our Recruiters

Successful
Alumni

Faculties

Awards & Recognition

Student Achievement

Events Gallery

Association with Foreign Universities

Students Published Papers

Student Achievement

Events Gallery

Association with Foreign Universities

Students Published Papers

Industry Association

FAQ

Q. Is there any Loan Facility Available ?

There are various kinds of scholarships and financial aid available at MU. Marwadi University has made special arrangements with State Bank of India, Bank of India, Central Bank of India, HDFC Bank and other private Banks for speedy sanctioning and dispersal of Educational and Student Loan to students taking admission.
https://www.marwadiuniversity.ac.in/student-loan/

Q. Is there any Scholarship Available ?

A student can avail various scholarships and financial aids at MU. There are International Scholarships, GATE Scholarship, Vidhyalaxmi Yojana, GPAT Scholarship, and alike. You can contact the University and get all the guidance related to Student Loan.
https://www.marwadiuniversity.ac.in/student-loan/

Q. How is the Placement at Marwadi University ?

Marwadi University provides 100% Placement Assistance and Opportunities. So much so that in the previous academic year, we hosted more than 480 companies for placement. If the students are dedicated enough with regular work and follow-ups, they are sure to receive placement in well-known companies with a worthy package. You can contact the Placement and Corporate Relations Department and go through Placement News to know more about it.

Q. How to Reach MU ?

Marwadi University is located on Rajkot-Morbi Road. You can take a city bus to Madhapar Chowk and from there, a Rickshaw Ride will drop you to Marwadi University which is a landmark known by all local drivers. It is 10 km from Bus Station, 12 km from Airport, and 10 km from Railway Station. You can easily find it on Google Maps if you want to self-drive to the University.

Q. Is there a Hostel Facility available at Marwadi University ?

Yes, Marwadi University has 6 hostels with a capacity of more than 3500 students. Many National and International students stay here and feel at home. There are ample facilities available at MU hostel. You can inquire about the hostel when you take admission and get accommodated in your new home.

Q. What is the Fee Structure of Degree Programmes at Marwadi University ?

Fee Structure at Marwadi University is different across various courses at UG and PG level. You can contact the Admission Department for knowing the Fees Structure of various courses offered at MU.

Q. How to Apply for Admission at Marwadi University? What form to fill ?

You can apply online by filling the Application form to start your admission process. If you do not want to fill the application online, you can visit the University for walk-in admissions anytime.

Q. Is Marwadi University recognised by the Government ?

Marwadi University is UGC (University Grants Commission) approved/listed. You can find the name of Marwadi University under the list of UGC approved Universities. MU is also the only institute that is given the NAAC A+ grade in Gujarat.

Q. What all Documents are necessary to bring in while joining the University ?

While you come for admissions, you need to carry your HSC and SSC results, school leaving certificate, JEE score card & registration slip (ACPC). We advise you to keep originals along with photocopies of the same. If you are taking admissions for a Master’s degree, you need to also keep the Bachelor’s Degree Certificate and Marksheet, and any other examination’s scorecard if applicable along with the previously mentioned documents. (GATE score, CMAT, CAT score, GPAT score)

Q. Is there any Medical Facility provided ?

Yes, first-aid medical kits and assistance are available on campus. There is also an ambulance available 24/7 to take students off campus for any kind of emergency.

COMPUTER ENGINEERING (BIG DATA AND ANALYTICS - BTECH)

Overview

Educational
Objectives

Eligibility Criteria

Fee structure

Curriculum

Core Courses

Elective Courses

Career Opportunities

Career Options

Big Data Development

Operating Big Data Tools

Database Management

Data Analytics

IT firms

Data Analytics firms

Marketing and Sales firms

R&D firms

Sports firms and more…

Student Outcomes

Career Opportunities, Placement, Packages, Alumni

Key Highlight

Facilities

Lab

Library

Scholarship

Campus Facilities

HOD's Message

Our Recruiters

Successful
Alumni

Faculties

Awards & Recognition

Industry Association

FAQ

Get Connected

Get Connected

COMPUTER ENGINEERING (BIG DATA AND ANALYTICS - BTECH)

Overview

Educational Objectives

Eligibility Criteria

Fee structure

Curriculum

Core Courses

Elective Courses

Career Opportunities

Career Options

Big Data Development

Operating Big Data Tools

Database Management

Data Analytics

IT firms

Data Analytics firms

Marketing and Sales firms

R&D firms

Sports firms and more…

Student Outcomes

Career Opportunities, Placement, Packages, Alumni

Key Highlight

Facilities

Lab

Library

Scholarship

Campus Facilities

HOD's Message

Our Recruiters

Successful Alumni

Faculties

Awards & Recognition

Industry Association

FAQ

Get Connected

Get Connected

Educational
Objectives

Successful
Alumni