Software Technology - St Aloysius (Deemed To Be University)

DEPARTMENT OF SOFTWARE TECHNOLOGY

This course offers professionals with Computer Science or Information Technology academic backgrounds the opportunity to pursue in-depth studies in software technologies. They will become versatile problem solvers with enhanced critical and creative thinking skills, and the ability to generate practical and innovative solutions.

MISSION

The M.Sc Software Technology program will educate students to analyze, design, integrate, and manage information systems using information technology.

Program Educational Objectives

The intent of the M.Sc (Software Technology) program is to produce software professionals who are able to achieve the following objectives:

  • Develop a product or process by applying knowledge of Programming, Web Technologies, Database Management, Big Data Analytics etc.
  • Participate effectively as a member of a development team and undertake leadership roles when appropriate
  • Make positive contributions to community and society by applying skills and abilities learned during Software Technology course.
  • Make decisions related to work that demonstrate understanding of the importance of being an ethical computing professional
  • Applied communication skills to effectively promote ideas, goals or products

Student Outcomes

Students graduating from our Software Technology Programme will be able to choose many different roles; becoming IT and IS consultants, project planners, project managers, Interface designers, Information Systems Researchers, Web Developers, and Systems Analysts. To emphasize, consider some of the general tasks that a Software Technology professional / specialist is likely to perform depending on where he / she works:

  • An ability to apply knowledge of Computing and Information Technology appropriate to the program’s student outcomes and to the discipline
  • An ability to analyze a problem, and identify and define the IT requirements appropriate to its solution
  • An ability to design, implement, and evaluate a IT based system, process, component, or program or a Mobile Application to meet desired needs.
  • An ability to function effectively on teams to accomplish a common goal
  • An understanding of professional, ethical, legal, security and social issues and responsibilities
  • An ability to communicate effectively with a range of audiences
  • An ability to analyze the local and global impact of computing on individuals, organizations, and society
  • Recognition of the need for and an ability to engage in continuing professional development
  • An ability to use current techniques, skills, and tools necessary for computing practice
  • An ability to use and apply current technical concepts and practices in the core information technologies
  • An ability to identify and analyze user needs and take them into account in the selection, creation, evaluation and administration of Large scale Systems
  • An ability to effectively integrate IT-based solutions into the user environment
  • An understanding of best practices and standards and their application
  • An ability to assist in the creation of an effective project plan
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DR SRINIVAS B.L

Associate Professor - Stage I

[email protected]
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SUCHETHA VIJAYAKUMAR

Associate Professor - Stage I

[email protected]
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NAUSHEEDA B.S

Assistant Professor - Stage III

[email protected]
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ARAVINDA PRABHU S

Assistant Professor - Stage III

[email protected]

Research Projects

1)   “DEVELOPMENT OF CHAT BOT FOR VACCINATION USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING“ selected for funding by KSCST, Govt of Karnataka, via Ref: 7.1.01/SPP/37 and Project Proposal Reference No. : 47S_MSC_0273, Students : Reshab A Shetty, Adash MK, Vinayaka D, Soujanya. Faculty Project guides - Dr Ruban S, Mrs. Suchetha Vijayakumar

2)   “AI DRIVEN APPROACH FOR BRONCHOPNEUMONIA DETECTION IN CHILDREN” selected for funding by KSCST, Govt of Karnataka via Ref: 7.1.01/SPP/37 and Project Proposal Reference No. : 47S_MSC_0256, Students : Shraddha H Shetty, Yashaswi K. Faculty Project guides - Dr Ruban S, Mrs. Suchetha Vijayakumar

3)  “Setting Up Big Data Lab and Using Analytics to Identify and Manage High Risk and High-Cost Patients in Nearby Hospitals”, GRD – 545, K-FIST(L2), VGST, Govt. of Karnataka, 2018-2021, Total Amount 26 Lakhs (Completed). Principal Investigator - Dr S Ruban

4)  “Investigating the Food habits and changing trends of Mogaveera Community and its relevance over Health using Machine Learning Models”, UGC-STRIDE Scheme for Trans-Disciplinary Research for India’s Developing Economy, Grant-no. 2-20/2019(STRIDE-I). Total Allotted Amount 4 Lakhs. (Completed). Co-Investigator - Dr S Ruban

5)  “Smartphone device for bilirubin estimate in Neonates “mBilimeter””, selected for Funding by DSTHUB MAHE, Total Allotted amount 32 Lakhs. (In progress). Principal Investigator - Dr S Ruban


MultiDisciplinary and Collaborative Research Projects

1) “Leveraging Machine Learning to tailor Diets for preventing Lifestyle-related diseases”, via protocol no 295/2024 and approval no: FMIEC/CCM/269/2024. Principal Investigator, - Dr Ruban S, Co-investigator(s): Dr. Akshay Dias, Physician, Dr. Sandras Joseph, Dietician.

2)  “Investigating Medical Student perceptions of AI’s role in medicine and their comfort level with Medical bots”, via protocol no 300/2024 and approval no: FMIEC/CCM/272/2024, Principal Investigator - Dr Ruban S, Co-investigator: Dr. Hilda Shanthini, Department of Anaesthesiology.

3) “AI Model for detecting Helicobacter pylori in Gastric Biopsies” via protocol no: 378/2023 and approval no: FMIEC/CCM/406/2023. Principal Investigator: Dr Akshay Dias, Department of General Medicine. Co-Investigator - Dr Ruban S

4) “An AI model for predicting and managing blood glucose levels for people suffering from Type 1 Diabetes Mellitus(T1D)” via protocol no : 367/2023 and approval no: FMIEC/CCM/417/2023. Principal Investigator: Dr. Mangala, Dr. Sudeep, Endocrinologist. Co-Investigator - Dr Ruban S

5) “A predictive model based on pattern study for the diagnosis of malaria and dengue using machine learning and big data.”, with Father Muller Medical College Hospital, via protocol no: 126/19(FMMCIEC/CCM/149/2019) on 06.2019,Principal Investigator - Dr Ruban S. Coinvestigator: Dr. Sanjeev Rai, Chief Research Officer, Father Muller Medical College.

6) “An Effective Model for detecting patterns of Diabetes Mellitus and hypertension among patients in RHTC Thumbay community using Big Data Analytics and machine Learning, via protocol no: 125/19(FMMCIEC/CCM/148/2019) on 06.2019, Principal Investigator - Dr Ruban S. Coinvestigator: Dr. Sudhir Prabhu, Dr Achal Shetty, Dept. of community medicine, Father Muller Medical College.

7) “Improvising Breast Cancer Detection on Mammography using AI based Deep Learning Techniques”, via protocol no: (FMMCIEC/CCM/2165/2021) on 06.2019, Principal Investigator - Dr Ruban S. Coinvestigator: Dr Ram Shenoy Basti, Dept. of Radiology and Imaging, Father Muller Medical College.

8) “Bilirubin estimation among the neonates using AI based Machine Learning”, via protocol no: (FMMCIEC/CCM/168/2022) on03.2022, Principal Investigator - Dr Ruban S.Coinvestigator: Dr. Saritha Paul, Dr. Sanjeev Rai, Dept. of Pediatrics, Father Muller Medical College.

9) “Automatic Mandibular canal detection in CBCT using Deep Learning Algorithms”, via protocol no: (22005) on 20/12/2022, Principal Investigator - Dr Ruban S . Coinvestigator Jefferson, Dr Nanditha Sujir, Dr Junaid Ahmed, Dr Mohan, Manipal College of Dental Sciences, Mangalore.

10) “Exploring the factors for the Acceptance and Reluctance towards covid-19 Vaccine among the Urban and Rural population of Karnataka, Kerala and Taminadu”, via protocol no: 145/2022 on 21.03.2022, Principal Investigator - Dr Ruban S. Coinvestigator Dr Sanjeev Rai, Mr Ashwin, Dr Hilda shanthini, Dr Rakesh Kumar.

11) “A survey on the Knowledge and awareness of Artificial Intelligence among the Medical Faculties and Students”, via protocol no: 195/2021 via Approval no : FMIEC/CCM/212/2021.Principal Investigator - Dr Ruban S

Placements and Internships
Batch Total Students Status
2023-25 30 Pursuing internship
2022-24 24 Placed
2021-23 26 Placed
Major Recruiters
NTT Data
EGDK
Novigo Solutions
Accenture
Blue Yonder
SAC
V-TOUR