M.Sc. (Information Technology) Data Science Practical Syllabus - Mumbai University
This is the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Semesters I and II are set by item 6.29 (N) and Semesters III and IV by item 6.2 (N). The University examines this programme under form 1113161, whose Summer 2026 timetable is headed NEP-2020; the distance and older Choice Based modes of the same degree are examined under different forms and different papers.
Loading syllabus...
Syllabus for Data Science Practical
- 1 Creating and using database in Cassandra 2 Write the programs for the following: 2a Text Delimited CSV to HORUS format 2b XML to HORUS format 2c JSON to HORUS format 2d MySql database to HORUS format
- I 2e Picture(JPEG) to HORUS format 2f Video to HORUS format 2g Audio to HORUS format 3a Fixers Utilities 3b Data Binning or Bucketing 3c Averaging of data 3d Outlier Detection 3e Logging 4a Perform following data processing using R 4b Program retrieve different attributes of data 4c Data pattern 4d Loading IP_DATA_ALL 5a Perform error management on the given data using pandas package 5b Write python/R program to create the network routing diagram from the given data on routers 5c Write a python/R program to build acyclic graph 5d Write python/R program to pick the content for BillBoards from the given data II 5e Write a python/R program to generate GML file from given csv file 5f Write python/R program to plan location of warehouse from the given data 5g Write python/R program using data science via clustering to determine new warehouse using the given data 5h Using the given data Write python/R program to plan the shipping routers from best-fit international logistics 5i Write python/R program to delete the best packing option to ship in container from the given data 5j Write python program to create delivery route using the given data 5k Write python program to crate simple forex trading planner from the given data 5l Write python program to process the balance sheet to ensure the only good data is processing 5m Write python program to generate payroll from the given data 6 Build the time hub, links and satellites 7 Transforming data
- III 8 Organizing data 9 Generating data 10 Data visualisation using power Bi Course Outcomes(OCs) Upon completing this course, the student will be able to: OC 1. Apply quantitative modeling and data analysis techniques to the solution of real world business problems, communicate findings, and effectively present results using data visualization techniques. OC 2. Recognize and analyze ethical issues in business related to intellectual property, data security, integrity, and privacy. OC 3. Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions. OC 4. Demonstrate knowledge of statistical data analysis techniques utilized in business decision making. OC 5. Apply principles of Data Science to the analysis of business problems. OC 6. Use data mining software to solve real-world problems. OC 7. Employ cutting edge tools and technologies to analyze Big Data. OC 8. Apply algorithms to build machine intelligence. OC 9. Demonstrate use of team work, leadership skills, decision making and organization theory.
Reproduced from the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Wording, unit numbering and lecture allocation are as printed in that syllabus. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for the whole diploma. Open it here if you want the whole thing rather than a single subject.
Use Part 1 or Part 2 NEP first so the module scope matches your Mumbai University exam.
Use MSc IT notes only after confirming the semester units and topic order.
Open MSc IT question papers after the syllabus check so revision follows the same course structure.