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ATKT Exam Form
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Examination Results

Program Outcome (PO)

The B.Sc. Data Science program enables graduates to:

  • PO1: Apply knowledge of mathematics, statistics, and computing fundamentals to analyze data effectively.
  • PO2: Design and develop solutions using programming skills and data science tools.
  • PO3: Analyze complex datasets to extract meaningful insights for decision-making.
  • PO4: Apply machine learning techniques for predictive modeling and pattern recognition.
  • PO5: Utilize big data technologies and modern tools for handling large datasets.
  • PO6: Apply data science concepts across various domains such as healthcare, finance, and business.
  • PO7: Demonstrate ethical responsibility and awareness of data privacy and security issues.
  • PO8: Communicate data-driven insights effectively using visualization and presentation skills.
  • PO9: Exhibit critical thinking and problem-solving abilities in real-world scenarios.
  • PO10: Work effectively in teams and multidisciplinary environments.
  • PO11: Engage in lifelong learning and adapt to evolving technologies in data science.
  • PO12: Demonstrate leadership and decision-making skills in professional contexts.

Semester I – Course Outcomes (CO)

1. Python Programming (NUDS101)
  • CO1: Apply basic programming concepts using variables, data types, and input/output operations.
  • CO2: Implement control structures and operators to solve programming problems.
  • CO3: Develop programs using functions and string operations.
  • CO4: Utilize dictionaries and basic data structures effectively.
2. Descriptive Statistics (NUDS102)
  • CO1: Organize and present data using appropriate statistical methods.
  • CO2: Compute and interpret measures of central tendency and dispersion.
  • CO3: Analyze data consistency using statistical techniques.
  • CO4: Evaluate relationships between variables using correlation.
  • CO5: Apply regression techniques for prediction and analysis.
3. Practical I – Python + Statistics (NUDS103)
  • CO1: Apply programming concepts to solve basic computational problems.
  • CO2: Implement functions, arrays, and strings in Python programs.
  • CO3: Perform data handling and basic statistical analysis using programming.
  • CO4: Develop problem-solving skills through practical implementation.
  • CO5: Analyze relationships between variables using correlation and regression techniques.
4. Indian Financial System – I (NUDS104)
  • CO1: Understand the structure and components of the Indian financial system.
  • CO2: Explain the role of banks and financial institutions.
  • CO3: Understand the importance of insurance in financial planning.
  • CO4: Develop awareness of basic financial concepts such as saving, budgeting, and investment.
  • CO5: Apply financial knowledge in real-life decision-making.
5. Social Media and Communication (NUDS105)
  • CO1: Understand the evolution and concepts of social media platforms.
  • CO2: Analyze the impact of social media on communication and society.
  • CO3: Evaluate ethical and privacy issues in digital communication.
  • CO4: Apply social media tools effectively in academic and professional contexts.
6. Excel for Business (NUDS106)
  • CO1: Understand basic spreadsheet concepts and data handling techniques.
  • CO2: Apply Excel functions for data analysis and financial modelling.
  • CO3: Design structured spreadsheets for business applications.
  • CO4: Use visualization tools such as charts and PivotTables.
  • CO5: Develop simple financial and analytical models using Excel.
7. Web Technology (NUDS107)
  • CO1: Understand basic concepts of web technologies and internet architecture.
  • CO2: Develop simple web pages using HTML, CSS, and basic scripting.
  • CO3: Apply web development tools for designing user interfaces.
  • CO4: Understand client-server communication and web protocols.
8. Communication Skills in English I (NUEN101)
  • CO1: Develop basic communication skills in English.
  • CO2: Improve vocabulary and grammar usage.
  • CO3: Communicate ideas clearly in academic and professional contexts.
  • CO4: Develop confidence in presentations and interpersonal communication.
9. Environmental Systems and Management – I (NUES101)
  • CO1: Understand environmental systems and ecological concepts.
  • CO2: Identify environmental issues and sustainability challenges.
  • CO3: Apply basic environmental management practices.
  • CO4: Develop awareness of environmental conservation.
10. Indian Knowledge System (NUIK101)
  • CO1: Understand fundamentals of Indian knowledge traditions.
  • CO2: Analyze contributions of ancient Indian science and philosophy.
  • CO3: Relate traditional knowledge to modern applications.
  • CO4: Develop appreciation for India’s cultural heritage.
11. Fitness and Sports – I (NUCC103)
  • CO1: Understand importance of physical fitness.
  • CO2: Perform exercises and sports activities.
  • CO3: Develop teamwork and discipline.
  • CO4: Maintain a healthy lifestyle.

Semester II – Course Outcomes (CO)

1. Advanced Python Programming (NUDS201)
  • CO1: Apply advanced Python concepts for solving complex problems.
  • CO2: Implement object-oriented programming concepts.
  • CO3: Work with advanced data structures and file handling.
  • CO4: Develop efficient programs using libraries.
2. Database Management Systems (NUDS202)
  • CO1: Understand database concepts and architecture.
  • CO2: Design relational databases using SQL.
  • CO3: Apply normalization techniques.
  • CO4: Perform database operations.
3. Practical 2 (NUDS203)
  • CO1: Implement advanced Python programs.
  • CO2: Develop database-driven applications.
  • CO3: Perform SQL operations.
  • CO4: Analyze and manage data efficiently.
4. Problem Solving using C (NUDS204)
  • CO1: Understand C programming fundamentals.
  • CO2: Apply control structures and functions.
  • CO3: Implement arrays and pointers.
  • CO4: Develop structured problem-solving skills.
5. Basics of Stock Market (NUDS205)
  • CO1: Understand stock market structure.
  • CO2: Analyze financial instruments.
  • CO3: Interpret market trends.
  • CO4: Understand risk management.
6. Research Principles and Practices (NUDS206)
  • CO1: Understand research concepts.
  • CO2: Design research problems.
  • CO3: Apply data collection techniques.
  • CO4: Prepare reports and presentations.
7. R Programming for Statistics (NUDS207)
  • CO1: Understand R programming basics.
  • CO2: Perform statistical analysis.
  • CO3: Visualize data using graphs.
  • CO4: Apply R in real-world scenarios.
8. Statistical Methods (NUDS208)
  • CO1: Understand advanced statistical concepts.
  • CO2: Apply hypothesis testing.
  • CO3: Analyze data using models.
  • CO4: Interpret statistical results.
9. Communication Skills in English II (NUEN201)
  • CO1: Improve communication skills.
  • CO2: Develop professional communication.
  • CO3: Enhance presentation skills.
10. Environmental Systems and Management – II (NUES201)
  • CO1: Understand environmental issues.
  • CO2: Analyze sustainability practices.
  • CO3: Apply solutions to real-world problems.
11. Fitness and Sports – II (NUCC203)
  • CO1: Understand fitness importance.
  • CO2: Develop endurance and coordination.
  • CO3: Promote teamwork.
Programs