A brief overview of the salient features of the curriculum of new generation MTech and MSc programs at JKLU. MTech SCHOLARSHIPS (First year) 1. Scholarships from 25% to 100% of tuition fees are offered to meritorious students based on their final scores in the under-graduation program, in the first year of study. CGPA Scholarships >=9.01 Equivalent to 100% of tuition fees 8.50 - 9.00 Equivalent to 75% of tuition fees 8.01 - 8.50 Equivalent to 50% of tuition fees 7.50 - 8.00 Equivalent to 25% of tuition fees 2. Students who qualify for GATE will be eligible for scholarships equivalent to 75% tuition fees. MERIT SCHOLARSHIPS (Second year) Students who have obtained CGPA of 8.50 and above in first year will be awarded scholarship equivalent to 75% of the tuition fee. Students who have obtained CGPA above 7.50 and below 8.50 in first year will be awarded scholarship equivalent to 50% of the tuition fee.

1. New Generation
MTech and MSc Programs at
Institute of Engineering and Technology,
JKLU
Sanjay Goel,
JK Lakshmipat University, Jaipur
Blog - Engineering & Computing Education: Reflections and Ideation
at goelsan.wordpress.com

2. Faculty:
Institute of Engineering and Technology, JKLU
• CSE: 13 - 3 Professor, 4 Associate Professor, 6 Assistant Professor
• EEE: 8 - 1 Professor, 3 Associate Professor, 4 Assistant Professor
• ME: 7 - 1 Professor, 1 Associate Professor, 5 Assistant Professor
• CE: 5 - 1 Professor, 1 Associate Professor, 3 Assistant Professor
• Maths & Science: 6 (+1) - 1 Professor, 2 Associate Professor,
3 (+1) Assistant Professor.
+ Management, and Design Faculty
• > 75% have PhD
• > 65% have >=10 years work experience
• > 60% faculty members have IIT/BITS/ISI/NIT/IIIT degrees
• > 10% have studied abroad
Faculty’s former students working at
– Google, Intel, Apple, Amazon, Microsoft, IBM, CISCO, Honeywell Aerospace, Yahoo,
FaceBook, Twitter, BT, Dreamworks, Xerox, SAP, Oracle, Siemens, Adobe, Shneider,
Shell, Lobster GmbH, ABB, HP, Bosch, TCS, Infosys, Accenture, Cognizant,
Capgemini, Bloomberg, Deloitte, Mckinsey, E&Y, JP Morgan, American Express,
Fidelity Investment, Indian Navy, IPS, IRS, Indian Airforce, Indian Army, …
– CMU, Imperial College, University of Maryland, IIT, IIM, NIT, … 2

3. Collaborations
Semester at a Partner University:
1. University of Florida, Gainesville, USA (for CSE, UFL’s Graduate Certificate
in Computing ilo PS-II with pathway to accelerated MS)
2. University of South Carolina, USA (For CSE at AI Institute, PS-II with a
pathway to PhD)
3. St. Cloud State University, USA (All BTech and BCA)
4. Amsterdam University of Applied Sciences, Netherland (All BTech and BCA)
5. IIT Gandhinagar (All BTech, Coursework/PS-II)
6. …
Industry Certifications:
1. UiPath (RPA) (No extra cost to students) (For all programs)
2. CISCO Network Academy (No extra cost to students) (For CSE/EEE and
BCA)
3. IBM India Limited (Extra cost) (For CSE and BCA)
4. Redhat (Extra cost) (For CSE, EEE and BCA)
5. Oracle (Extra cost) (For CSE and BCA) 3

4. Engineering and Technology Programs at JKLU
BTech
• CSE: With optional Concentrations in
– Data Science
– Artificial Intelligence
– Embedded Systems and IoT
– Software Engineering and Robotic Process Automation
– Cloud Computing
– Big Data Analytics
– Information Security
• EEE: With optional Concentrations in
– Embedded Systems and IoT
– Digital Systems
– Communications and Signal Processing
– Power Systems
• ME: With optional Concentrations in
– Automobile Design and Engineering
– Automation & Robotics
• CE: With optional Concentrations in
– Structural Engineering
– Infra-structure Engineering
– Construction Management
– Environmental Engineering
EEE, ME, and CE students can also take Minor in CSE
ME, CSE, CE students can also take Minor in Cyber-Physical Systems 4
BCA:
Optional Concentrations
• Data Analytics
• Cloud Computing and Cyber Security
• Robotic Process Automation
MTech
(Exit option after 1 year with PG Diploma)
• Data Science
• Health, Safety, and Environmental
Engineering
• Embedded Systems and Internet of Things
• Automation and Robotics
MSc (After 3 year graduation, Exit option after 1
year with PG Diploma)
• Data Analytics
PhD

5. Engineering and Technology Education: Objectives
5
Outcome Based Education
1. Learning Outcomes defined and
monitored for each course
2. Active learning: Emphasis on
assignments, projects, reports,
etc., in nearly all courses.
3. Rigour: 1 Credit = a minimum
35-36 hours of expected
workload for each students over
the full course
4. Internships
Core Comptencies
1. Life-long learning
2. Citizenship, Sustainability, and
Professional ethics
3. Engineering/Computing knowledge
and Modern tool usage
4. Complex problem solving, Design
and Research
5. Individual & team work and
Engineering management
6. Communication
7. Innovation and entrepreneurship

6. Program Specific Outcomes
M.Tech. (Data Science)
The M.Tech. (Data Science) graduates of JKLU will be able to:
• Identify, extract, and pull together available and pertinent heterogeneous data and use
appropriate computational principles, platforms and techniques to discover new relations
and deliver insights into research problem or organizational processes and support
decision-making.
• Conceive, design, implement, and manage data analytics, data management and
information systems, services, and processes by using principles of computer
science, data management, machine learning, computational statistics, software
engineering, and state of the art platforms, components and tools.
• Serve in the areas of data analytics, data science, or business analytics in business,
consultancy, industry, government, healthcare, education, research, etc.
M.Tech. (Artificial Intelligence and Machine Learning)
The M.Tech. (Artificial Intelligence and Machine Learning) graduates of JKLU will be able to:
• Conceive, design, implement and manage intelligent information systems, services,
and processes by using principles of computer science, data management, artificial
intelligence, machine learning, computational statistics, software engineering, and state
of the art platforms, components, and tools.
• Serve in the areas of artificial intelligence, machine learning, data analytics, data
science, or in business, consultancy, industry, government, healthcare, education,
research, etc.
6

7. Program Specific Outcomes
M.Tech. (Automation and Robotics)
• The M.Tech.(Automation and Robotics) engineering graduates of JKLU will be able to:
• Conceive, design, implement, and manage automation systems by using principles
of physical computing, control and automation, mechatronics and robotics, robotic
process automation, artificial intelligence, and state of the art components and tools.
• Serve in fields of industrial automation, robotics, systems engineering, IT and
engineering services, education, research, etc.
M.Tech. (Embedded Systems and Internet of Things)
The M.Tech. (Embedded Systems and Internet of Things) graduates of JKLU will be able
to:
• Conceive, design, implement, and manage physical computing systems by using
principles of computer engineering, industrial automation, data analytics and state of
the art components and tools.
• Serve in fields of consumer electronics, automobile, mechatronics, industrial
automation, IT and engineering services, education, research, etc.
7

8. Program Specific Outcomes
M.Tech. (Health, Safety, and Environment)
The M.Tech.(Health, Safety, and Environment) graduates of JKLU will be able to:
• Interpret and apply legislative requirements, industry standards, and best practices in a variety
of workplaces.
• Collect, manage, and interpret information and data to identify hazardous conditions and
practices in a variety of workplaces.
• Prevent and control harm to workers, property, the environment and the general public by
conceiving, designing, and implementing alternative engineering and management systems
and practices in compliance with laws and/or employer policies by using principles of
engineering, industrial safety, risk management, data analytics, automation, and state of the art
platforms, components and tools.
• Serve in fields of environmental health and safety, safety engineering, industrial hygiene, safety
and occupational health in business, consultancy, industry, government, healthcare, education,
research, etc.
M.Sc. (Data Analytics)
The M.Sc. (Data Analytics) graduates of JKLU will be able to:
• Identify, extract, and pull together available and pertinent heterogeneous data and use
appropriate computational principles, platforms, and techniques to discover new relations and deliver
insights into research problems or organizational processes and support decision-making.
• Conceive, design, implement and manage data analytics systems, services, and processes
by using principles of computational mathematics, computational statistics, computer science, data
management, machine learning, software engineering, and relevant state of the art platforms,
components, and tools.
• Serve in the areas of data analytics or business analytics in business, consultancy, industry,
government, healthcare, education, etc.
8

9. MTech and MSc Programs
9
• Interdisciplinary MTech Programs:
• Data Science (DS);
• Health, Safety, and Environmental Engineering (HSE);
• Embedded Systems and Internet of Things (Es & IoT);
• Automation and Robotics (A&R);
• Artificial Intelligence and Machine Learning (AIML)
• MSc
• Data Analytics
• Exit options
1. All MTech and MSc programs offer exit option with PG Diploma after 1
year.
2. MTech (AIML) also offers exit options after 3/6 months with
Certificate/Advanced Certificate.
• Total Credits: 78/79
• Electives: 3/4
• Internships/Dissertation/Entrepreneurial Projects: 30/36 credits

10. MTech Curriculum
Sem Data Science Health, Safety and
Environment
Embedded Sys
and IoT
Automation and
Robotics
1st Statistical Data Analysis-I Optimization and Control
+
Instrumentation and
Embedded Systems Lab
Cloud based Big Data
System-I
Industrial Automation and Internet of Things-I
Machine Learning and
Data Mining
Industrial Safety
Management
IoT Architecture
and Protocols
Robotic Process
Automation
Elective-I
Project-I/Research Methodology-I
CCCT/Liberal Arts/Pedagogy
2nd Statistical Data Analysis-II Computer Aided Risk
Analysis
IoT Security and
Reliability
IoT Security and
Reliability
Cloud based Big Data
System-II
Risk and Hazard
management
Industrial Automation and Internet of Things-II
Advanced Machine
Learning
Regulation for Health,
Safety, and Environment
Management
Cloud and Edge
Computing
Mechatronics
Elective-II
Project-II/Research Methodology-II
CCCT/Liberal Arts/Pedagogy
10

11. MTech Curriculum 2019@ JKLU: 2nd Year
Se
m
Data Science Health, Safety and
Environment
Embedded Sys and
IoT
Automation and
Robotics
Sum
mer
Industrial Internship (6-8 weeks)
3rd Elective-III (can also be taken through Curated MOOC mode)
Elective-IV (can also be taken through Curated MOOC mode)
Dissertation/Industrial Project/Entrepreneurial Project
4th Dissertation/Industrial Project/Entrepreneurial Project
11
Option to exit after the Industrial Internship with a PG Diploma

12. MTech (Artificial Intelligence and Machine Learning)
Term
(Trimeste
r/
Semester)
Courses
I
(Trimeste
r)
Computational
Statistics
Supervised
Machine
Learning
Natural
Language
Processing
Artificial
Intelligence
Robotic Process
Automation
CCCT-1
II
(Trimeste
r)
Advanced
Mathematics for
Data Analytics
Unsupervised
Machine
Learning
Big Data
Systems -I
Knowledge
Representation
Data
Visualization and
Cognitive
Dashboard
CCCT-2
III
(Trimeste
r)
Optimization for
Data Analytics
Elective 1
Big Data
Systems -II
Computer Vision
Minor Project/
Elective
CCCT-3
IV
(Trimeste
r)
Capstone Project / Internship (6- 8 weeks)
V
(Semester
)
Elective-II Elective-III Dissertation/Internship-II/Entrepreneurship
Project
VI
(Semester
)
Dissertation/Internship-III/Entrepreneurship Project
12

13. MSc in Data Analytics
13
Term
(Trimes
ter/
Semest
er)
Courses
I
(Trimes
ter)
Computational
Statistics
Computational
Thinking and
Computer
Programming
Mathematics for
Data Analytics
Database
Systems
Robotic
Process
Automation
CCCT-1
II
(Trimes
ter)
Fundamentals of
Machine Learning
Big Data
Systems –I
Advanced
Mathematics for
Data Analytics
Data and
Knowledge
Representation
Data
Visualization
and Cognitive
Dashboard
CCCT-2
III
(Trimes
ter)
Applied Machine
Learning
Big Data
Systems –II
Optimization for
Data Analytics
Elective
Minor Project/
Elective
CCCT-3
IV
(Trimes
ter)
Capstone Project /Internship (6- 8 weeks)
V
(Semes
ter)
Elective-II Elective-III Dissertation/Internship-II/Entrepreneurship Project
VI
(Semes Dissertation/Internship-III/Entrepreneurship Project