Computer Science & Business Systems

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B.E. in Computer Science & Business Systems(CSBS)

JSS STU becomes 1st university in Karnataka to offer 4 year B.E Course in CSBS designed by TCS

  • To address the growing need of engineering talent with skills in digital technology, TCS, in partnership with leading academicians across India, has designed a curriculum for 4 years undergraduate program on Computer Science titled “Computer Science and Business Systems (CSBS)”. JSS Science and Technology University, Mysuru is the first University in Karnataka to offer this course from the year 2019-20.
  • JSS Science and Technology University, Mysuru has  signed a MOU with TCS to offer CSBS program to the students.  As part of the MoU, TCS will support JSS Science and Technology University by training and developing their faculty, organising guest lectures by expert practitioners from the industry, and by engaging in continuous assessment of the students. Additionally, TCS will also offer internship to select students undergoing this program and involve them in meaningful projects to provide first-hand exposure to the real-life business problem.
  • B.E in CSBS curriculum is aimed to inculcate passion towards continuous learning to enhance knowledge and skills that will enable students to develop and deploy solution for the industry 4.0.
  • The curriculum  ensures that the students graduating from the program not only know the core topics of Computer Science but also develop an equal appreciation of humanities, management sciences and human values. The students are exposed to emerging topics such as Analytics, Machine Learning, Cloud Computing, Internet of Things (IoT), Artificial Intelligence (AI) etc., to make them industry ready at the end of four years of study.

[/eikra-vc-text-title][/vc_column][/vc_row][vc_row][vc_column][eikra-vc-text-title title=”Vision”] “To be an outstanding education centre in Information Science and Engineering through excellence in teaching and research.”[/eikra-vc-text-title][eikra-vc-text-title title=”Mission”]

  • To empower the graduates with domain-specific knowledge, skill and creative thinking.
  • To create wide-angle exposure to the stakeholder on thrust areas.
  • To prepare graduates with research and entrepreneurship attitude having high moral and ethical values.

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  • The department has highly qualified faculty members who have rich experience in the area of Data Science, Machine Learning and Computational Intelligence.
  • The faculty members have associated with various reputed International Universities like Harvard University, USA, Nanyang Technological University, Singapore, Korean University, Seoul, University of Mannheim, Germany, Georgia University, USA, St. Petersburgh Electrotechnical University, Russia, University of Genova, Italy, Helsinki University of Technology, Finland, Bilkent University, Turkey and many more.
  • Faculty members of the department have produced research articles in reputed Journals and Conference proceedings. The published papers have a high citation index.
  • The department regularly conducts workshops, seminars, symposiums, and faculty development programmme to keep updated with emerging technologies.
  • The department is housed with high-end computing facilities like GPU machines such as ParamShavak, High-End Internet Facilities, wifi facilities, and access to reputed journals like IEEE, Springer, Elsevier and many more.

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Trust Area” tab_id=”1659934124097-3e523679-5ea3″][vc_column_text]Thrust Areas include Pattern Recognition, Medical Image Analysis, Computational Linguistics, Biomedical Informatics, Computer Networks, Wireless Networks, IoT and Speech Signal Processing.[/vc_column_text][/vc_tta_section][vc_tta_section title=”Strategic Plan” tab_id=”1659934268153-4ffbc1b6-bfa1″][vc_toggle title=”Education”]Deliver excellent academic programs and develop innovative strategies to educate Undergraduate, Postgraduate and Research students. To instill quality education to students in terms of academics, research and societal needs.[/vc_toggle][/vc_tta_section][vc_tta_section title=”Strategic Objective” tab_id=”1659934343947-6129e5ff-679d”][vc_toggle title=”Education”]

  • To improve the quality of the undergraduate, postgraduate and research programs.
  • Improve infrastructure for student laboratories and classes.
  • To encourage undergraduate and postgraduate students to begin startups.
  • To introduce modern computing and managerial skills in the curriculum.

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# Program Educational Objectives:-The Graduates will be able to:
PEO – 1 Critically think and apply the principles of software engineering to solve real world problems.
PEO – 2 Contribute to research and development in cutting edge technology.

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# Program Specific Outcomes: –The Graduates will be able to:
PSO-1 Provide students with core competence in mathematics, scientific, and basic, engineering fundamentals to develop software applications.
PSO-2 Train students with knowledge and skills in core areas of system engineering, information processing and application development.
PSO-3 Inculcate students to excel in IT profession, entrepreneurship, and research with ethical standards

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# Program Outcomes-The Graduates will be able to:
PO-1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO-2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO-3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO-4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO-5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO-6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO-7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO-8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-10 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO-12 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

[/vc_column_text][/vc_tta_section][/vc_tta_accordion][eikra-vc-text-title title=”Programmes Offered”]


  • B.E (Computer Science and Business Systems)

[/eikra-vc-text-title][vc_tta_accordion spacing=”4″ gap=”4″ c_icon=”chevron” active_section=”0″ collapsible_all=”true” title=”OBE Administration”][vc_tta_section title=”Department Advisory Board / Committee” tab_id=”1659934648315-41f0c063-8894″][vc_column_text]The department Academic advisory committee comprises HOD, senior faculty, external academicians, members from industry, alumni members and student members. The committee will review the academic quality and suggest improvements in the related areas.

1 Dr. B.S.Mahanand

Head of the Department

Internal Academician Chairman
2 Dr. D.S.Vinod

Associate Professor

Internal Academician Convener
3 Dr. Yuvaraju B N


Dept. of Computer Science & Engineering

The National Institute of Engineering, Mysuru

External Academician
4 Raghavendra Udupa

Senior Delivery Manager

Infosys, Mysuru

5 Phalguna V Urs Alumni
6 Dr. Umesh K K

Associate Professor

Internal Academician Member
7 Final year class representative Student

Program Assessment Committee – PAC is constituted to assess the academic process of the program.

The following are the roles of the Program Assessment Committee:

  1. Assist in framing Course Outcomes and mapping COs to POs / PSOs.
  2. Contribute in the Teaching-Learning Process of the program.
  3. Suggest additional assessment techniques other than CIE.
  4. Verify the course and program attainment process.
  5. Verify the action plans and their attainment in each course.


Program Assessment Committee:

  1. D.S.Vinod

Associate Professor,Dept of ISE

  1. Dr Umesh K K

Associate Professor,Dept of ISE

  1. S.P.ShivaPrakash

Associate Professor,Dept of ISE[/vc_column_text][/vc_tta_section][vc_tta_section title=”Board of Study” tab_id=”1659934648351-9a1c4bd0-aeb6″][vc_column_text]



Category Designation Name of the Person
1 The Dean(s) of the Faculties Ex-Officio Member Dr. B Manoj Kumar
  Dean (Engineering & Technology) Dr. S B Kivade
2 Head of the Department Chairperson Dr. B S Mahanand
3 All Professors of the Department Members Dr. B S Harish


Two Senior Associate Professors of the concerned Department by rotation Members 1 Dr. D S Vinod
2 Dr. Umesh K. K.
5 One Senior Assistant Professor of the concerned Department by rotation Member 1 Dr. R J Prathiba
6 One External Subject Expert from any reputed Academic /Research Institution/ Other Universities nominated by the Academic Council Member 1







Dr.Uttam Kumar

Assistant Professor,

 Infosys Foundation Career Development Chair Professor

International Institute of Information Technology Bangalore

7 One External subject expert from any reputed Academic / Research Institutions/other Universities nominated by the Vice Chancellor upon recommendation by the Dean of respective faculty. Member 1


Dr.Suresha, PhD ( IISC)Professor

Department of Studies in Computer Science

University of Mysore

8 Two external members from concerned industry/Government Departments/Public Sector undertakings/ allied area relating to placement, nominated by the Academic Council upon recommendation by the Dean of respective faculty. Members 1









Mahesh SAssociate Group manager

SLK Software


Jyothi Balraj

Wipro technologies

Electronic city Phase 1

Bangalore 560100

9 One postgraduate meritorious alumnus, to be nominated by the Head of the Department. Member 1 Rakshith U JPrincipal Product Manager

AI/ML Platforms and Services

Walmart labs, Bangalore

10 The Chairperson, Board of Studies, may with the approval of the Vice Chancellor, co-opt as Members:a)   One external subject expert    from reputed Academic/Research Institution/Other Universities/Industry/Government departments/public sector undertakings, whenever special courses of studies are to be formulated. Members  



Sharath Chandra NSolution Architect – Applications

Tata Consultancy Services, Bengaluru

b) Two other members of faculty of the concerned Department. 1 Dr. S P Shiva PrakashAssociate Professor
2 Dr. Pradeep MAssistant Professor

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Department Internal Committee” tab_id=”1659934897633-23b51ff0-4cc6″][vc_column_text]Quality Monitoring and Administration Committee (QMAC):

  1. VanishriArun
  2. Sindhu G
  3. Shruthi N

Teaching and Learning Committee (TLC):

  1. Vani H Y
  2. Sindhu A.S

Academic Committee (AC):

  1. C K Roopa
  2. Tejaswini M

Department Support Activities Committee (DSAC):

  1. Dr. S.P.ShivaPrakash
  2. Kaveri T S
  3. Lavanya M.S

Research & Development Committee (RDC):

  1. B S Harish
  2. Dr .D.S.Vinod

Laboratory Development Committee (LDC):

  1. Manju N
  2. Malapriya S

Time table committee (TTC):

  1. R.J. Prathibha
  2. Shyla Raj

ERP committee:

  1. Manju N
  2. Praveen Murthy K.S

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Section” tab_id=”1659934946282-186fc2f8-cc49″][vc_column_text]For mentoring students, the class is divided into groups of 20 students and a mentor is assigned for each group.

SEM Branch Faculty Advisor
3 Year CSBS Dr. C K Roopa, Shyla Raj, Dr.Manju N
2Year                                        CSBS Kaveri T.S, Malapriya M.S

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Infrastructure Facility” tab_id=”1659935032359-159f6e77-559e”][vc_column_text]I am text block. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.



Name of the Facility Specialized Equipment Name Equipment details Utilization details from

the perspective of PO


1 Machine Learning and Data Science DELL Precision 3630 Tower Workstation



Quantity 10 Nos.

·      DELL Precision 3630 Tower Workstation·      Intel Xeon E-2124G, 4 core,8MB cache3.4GHz,

·      4.5 GHz turbo mother board Intel c236 Chipset

·      8GB RAM, HDD 2TB 7200rpm,


·      4GB DDR5RAM

The lab is utilized to implement project on machine learning

/deep learning algorithms for various applications   such as Advanced Algorithms, Computational Intelligence,            Bio Informatics, Big Data Analytics, Cloud Computing, Internet of Things.

PARAM SHAVAK Quantity 1 Nos. ·         2 multi core CPU with 12 cores.·         Speed 3Teraflops

·         2 Nvidia P500GPU

·         RAM 96 GB

2 Computer Vision and Pattern Recognition DELL Vostro 3900 Series,



Quantity 3 Nos.

·      Intel core I5 4460 processor 3.2GHz·      windows 8.1



·  19.5 TFT Monitor

The lab is exclusively meant for the research scholars of the department. The facility is made available 24/7 with advanced tools that can be used for their research work. Some of the funded projects are also executed in this laboratory.

The research activities in the field of  Text Mining, Cyber Security, and Natural Language Processing




Quantity 3 Nos.

·         2 GB RAM DDR2·         Intel core 2 duo processor

·         DVD writer,

·         160 GB HARDDISK,

·         17 inch LCD monitor

3 Network Operation Center Servers 3 Nos ·         Sopho’s network firewall with 1000 concurrent users.·         Having capabilities like Bandwidth management. Multilink Management, VPN, on appliance reporting, IPS, antivirus and web application Filtering.


·         Brocade ICX 6650 HIGH DENSITY 10GB layer 3 switches having 32 10GBe SSP ports

·         Layer2 switches: ICX 6450-6430-24p 24port GB switch for WIFI access points

·         DNS Secondary server

Centralized Network Operation Centre facilitates campus networking, high speed internet connection, wi-fi access and firewall.
4 Software Laboratory – 1 DELL



Quantity 30 Nos.

·         i7 8th Generation Processor,·         Q 370Processor

·         810G Mil Grad Chaises

·         256 GB Solid State Drive (this gives high performance)

·         22 inch Full High Definition Monitor with IPS panel,

·         5 Year K7 Antivirus: top end protection with internet security

·         8GB single chip RAM

·         Multimedia Keyboard.

·         Mouse.

·         System box with

build in Graphics card (Pre-fitted) : UHD 630

·         Built in Operating System: Windows 10.

·         Built in speaker.

The laboratory is equipped with high end devices which are used to conduct, design and implement mini projects, seminar.
DELL Vostro 3900 Series,



Quantity 5 Nos.

·         Intel core I5 4460 processor,3.2GHz·         windows 8.1Professional OS,

·         4GB DDRRAM,

·         1TB SATA HDD,

·         19.5 Wide TFT LED Wider monitor screen




Quantity  6 Nos.

·         2 GB RAM DDR2, INTEL Core 2 DUO Processor·         DVD writer

·         160 GB HARD DISK,

·         17”  LCD Monitor

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Sl. No. Name Designation Qualification Email-ID
1 Dr. B S Harish Professor B.E., M.Tech., Ph.D
2 Dr.  D S Vinod Associate  Professor B.E., M.Tech., Ph.D
3 Dr. B S Mahanand HOD, Associate  Professor B.E., M.Tech., Ph.D
4 Dr.Umesh K K Associate  Professor BE, M.Tech, Ph.D.,
5 Dr. S P Shiva Prakash Associate Professor BE, M.Tech, Ph.D.,
6 Dr. R J Prathibha Assistant Professor B.E., M.Tech, Ph.D
7 Dr.VanishriArun Assistant Professor BE, M.Tech, Ph.D.,
8 Dr. H Y Vani Assistant Professor B.E., M.Tech., Ph.D.
9 Dr. Manju N Assistant Professor BE, M.Tech, Ph.D.,
10 Dr. C K Roopa Assistant Professor BE, M.Tech, Ph.D.,
11 Dr. M S Maheshan Assistant Professor BE, M.Tech, Ph.D.,
12 Ms. Shyla Raj Assistant Professor BE, M.Tech, (Ph.D.),
13 Ms. Tejaswini M Assistant Professor BE, M.Tech,
14 Mr. Praveen Murthy K S Assistant Professor BE, M.Tech, (Ph.D.),
15 Ms. Malapriya S Assistant Professor BE, M.Tech,
16 Ms. Sindhu G Assistant Professor BE, M.Tech,
17 Ms.Sindhu A S Assistant Professor BE, M.Tech, (Ph.D.),
18 Mrs.Shruthi N Assistant Professor BE, M.Tech
19 Ms. T S Kaveri Assistant Professor BE, M.Tech
20 Mrs.Lavanya M S Assistant Professor BE, M.Tech

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Technical Staff” tab_id=”1659935323291-695f929b-30f6″][vc_column_text]

# Name Qualification Designation Exp.Yrs Email-ID

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Supporting Staff” tab_id=”1659935469400-5dd11c43-ef6b”][vc_column_text]

# Name Qualification Designation Exp.Yrs Email-ID
1 Shivanna 7th Sweeper 20

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