Bachelor of Data Science

Bachelor of Data Science

Bachelors
·
4 years

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Fee (Tentative)NPR 924,000

Institutions offering BDSc

Currently, 1 institutions offer Bachelor of Data Science (BDSc) under Kathmandu University in Nepal with 1 of them offering in Kavrepalanchok district.

In the modern era, knowledge in Data Science is crucial due to the prevalence of Computers, Artificial Intelligence, and Big Data. The computational power of modern machines facilitates statistics and data analysis, which are key aspects of Data Science. Statisticians play a vital role in interpreting vast amounts of data generated across various fields, identifying significant patterns and trends, and understanding what the data reveals.

The Bachelor of Data Science program of Kathmandu University aims to address challenges in data storage, organization, and retrieval. This field employs tools and methodologies such as machine learning, data analysis, and data visualization to transform raw data into actionable insights.

In Nepal, data originates from diverse sources, including research, field studies by NGOs or INGOs, quality control in industries, planning commission data, stock market studies, and credit card transactions. International data, accessible through cloud-sharing technologies from organizations like NASA and the WHO, can be used in Nepal. Mastery of mathematical techniques is essential for processing these large datasets and drawing significant conclusions that aid societal development and guide policymakers.

Statistics provides methods for extracting information from samples and designing experiments, making it applicable in various fields such as sciences, agriculture, business, finance, and engineering. It also quantifies uncertainty from complex experimental interactions, enhancing the reliability of conclusions.

Objectives of the Course

  • To cultivate Data Scientists skilled in interdisciplinary applications, employing statistics, advanced analytics, and machine learning to solve complex real-world problems and challenges.
  • To offer practical and computer-based professional training to explore, organize, and analyze large data sets from various sources, thereby enabling optimal decision-making and process optimization.
  • To integrate fields within computer science, optimization, and statistics, creating proficient and well-rounded data scientists.

Importance of the course in Nepalese context 

The global demand for data science professionals has led to widespread use of data for decision-making and competitive advantage. In Nepal, this trend is reflected in the growing popularity of data science courses, which prepare individuals for rewarding careers and support the country's technological progress. The importance of skilled data scientists in Nepal's data-driven decision-making landscape cannot be overstated, with Kathmandu University's Data Science course playing a pivotal role in shaping the nation's technical future.

Graduates of this program find ample opportunities in various fields, benefiting from high demand, attractive salaries, and global employment prospects. The course not only equips students with essential skills but also contributes to Nepal's broader technological advancement, underscoring the critical importance of data science expertise. Upon completing this course, individuals can pursue careers in various sectors within Nepal:

a. NGO/INGO: Data scientists apply their mathematical and statistical expertise to interpret data collected and stored in clouds by both national and international agencies.

b. Business and Industry: Data scientists play pivotal roles in quality control, product development, and enhancement within businesses and industries. They utilize data science to determine product manufacturing, pricing strategies, target markets, and manage assets and liabilities, assessing risks and returns for investments in banking and insurance sectors.

c. Governmental Organizations and Ministries: Every government agency can benefit from employing data scientists. They contribute to scientific, environmental, and agricultural endeavors, aiding in tasks like assessing pesticide levels in drinking water, monitoring endangered species populations, or analyzing disease prevalence among the populace.

Eligibility

The applicants for this course should have 10+2 with 50% and above marks and they should have above 50% in PCM or as per passed by the Academic Council of Kathmandu University.

Admission Criteria

Applicants must satisfy the general requirements for admission to the University.

Curricular Structure

This program will basically emphasize on Statistics, Mathematics, Computer Science and Business. The emphasis of the program will be primarily on statistical methods, machine learning, data analysis, and professional development. This is a Four-Year Course with the following course structure.

Year I / Semester I

Course CodeCourse TitleCredits
DSMA 111Introduction to Data Science3
DSMA 113Introduction to Python Programming3
DSMA 114Linear Algebra3
DSMA 115Calculus-I3
DSMA 116Computational Statistics-I3
 Total15

Year I / Semester II

Course CodeCourse TitleCredits
DSMA 121Introduction to AI3
DSMA 122Technical Communication Skill3
DSMA 123Data Structures3
DSMA 125Calculus-II3
DSMA 126Computational Statistics-II3
DSMA 199R-Programming3
 Total18

Year II / Semester I

Course CodeCourse TitleCredits
DSMA 211Programming Concepts Using OOP (Java)3
DSMA 212Data Analytics and Visualization3
DSMA 214DBMS+ Cloud Computing3
DSMA 215Differential Equations3
DSMA 216Discrete Mathematics3
 Total15

Year II / Semester II

Course CodeCourse TitleCredits
DSMA 221Introduction to Machine Learning3
DSMA 222Operating System Fundamentals3
DSMA 225Statistical Inference3
DSMA 224Scientific Computing3
DSMA 226Multivariate Analysis3
DSMA 299Project3
 Total18

Year III / Semester I

Course CodeCourse TitleCredits
DSMA 311Data Governance3
DSMA 313Algorithm Analysis3
DSMA 314Parallel Computing3
DSMA 315Optimization Techniques3
DSMA 316Statistical and Digital Literacy3
 Total15

Year III / Semester II

Course CodeCourse TitleCredits
DSMA 321Feature Engineering3
DSMA 322Big Data Technologies3
DSMA 323Data Security3
DSMA 324Data Science in Digital Marketing3
DSMA 325Time Series Analysis3
DSMA 399Project3
 Total18

Year IV / Semester I

Course CodeCourse TitleCredits
DSMA 411Deep Learning3
DSMA 412Predictive Analytics3
DSMA 413Applied Data Science; Industry Immersion3
DSMAElective I3
DSMAElective II3
 Total15

Year IV / Semester II

Course CodeCourse TitleCredits
DSMA 498 / DSMA 499Internship / Final Project6
 Total6

Total Credit: 120

Course CodeCourse Title
DSMA 111Introduction to Data Science
DSMA 112Set and Logic
DSMA 113Introduction to Python Programming
DSMA 114Linear Algebra
DSMA 115Calculus-I
DSMA 116Computational Statistics-I
DSMA 121Introduction to AI
DSMA 122Technical Communication Skill
DSMA 123Data Structures
DSMA 125Calculus-II
DSMA 126Computational Statistics-II
DSMA 199Project + R-Programming
DSMA 211Programming Concepts Using OOP (Java)
DSMA 212Data Analytics
DSMA 213Data Visualization
DSMA 214DBMS
DSMA 215Differential Equations
DSMA 216Discrete Mathematics
DSMA 221Introduction to Machine Learning
DSMA 222Operating System Fundamentals
DSMA 224Scientific Computing
DSMA 225Statistical Inference
DSMA 226Multivariate Analysis
DSMA 299Project (SQL)
DSMA 311Data Governance
DSMA 312Social Network Analysis
DSMA 313Algorithm Analysis
DSMA 314Parallel Computing
DSMA 315Optimization Techniques
DSMA 316Statistical Literacy and Digital Literacy
DSMA 321Feature Engineering
DSMA 322Big Data Technologies
DSMA 323Data Security
DSMA 324Data Science in Digital Marketing
DSMA 325Time Series Analysis
DSMA 399Project + Literate Programming
DSMA 411Deep Learning
DSMA 412Predictive Analytics
DSMA 413Applied Data Science; Industry Immersion
DSMAElective I
DSMAElective II
DSMA 498Internship
DSMA 499Final Project

Elective Courses: 

DSMA 451 Biomathematics

DSMA 452 Health Informatics

DSMA 453 Econometrics

DSMA 454 Numeric in ODE

DSMA 455 Data Mining 

DSMA 456 Bio Informatics

DSMA 457 Stochastic Models

DSMA 458 Mathematical Modeling

DSMA 459 Statistical Modeling

DSMA 460 Biostatistics

DSMA 461 Industrial Statistics

DSMA 462 Agriculture Statistics

DSMA 463 Population Dynamics

DSMA 464 Financial Modeling