What is B.Sc in Data Science Course Syllabus at KR Mangalam University
Data Science is an ideal blend of data management, data examination, Artificial Learning and various other techniques related to it. B.Sc in Data Science is a three-year undergraduate degree course that is offered by KR Mangalam University, Gurgaon. Data Science is an integrated programme that includes the use of Statistics, Machine Learning, Big Data Analytics and other related topics. Data Science is similar to Data Mining and enormous Data it provides in-depth understanding and techniques for analysis of quantitative and qualitative aspects to arrive at a solution.This program is designed after getting feedback from various academicians and practitioners. Students will be able to provide organizations with powerful insight as they try to increase their workforce. BSC in Data Science enhances logical reasoning abilities and communication skills.
Universities are trying to make knowledge and a practical friendly environment for students to address the real-life problems of the corporations. Having background knowledge in computer science or related subjects can add value to your data science studies.
The students will get ample knowledge about mathematics and other related topics. This course helps the students with the latest technologies and techniques in Data Science like Python, Java, Machine learning and Big Data Analytics. This course helps the student to develop the skills of a graduate to write various competitive exams.
BSC in Data science programme helps the students to boost up their confidence to appear for various competitive exams that will help them to get a higher post at the administrative level.
B.Sc in Data Science Syllabus at KR Mangalam University
BSC In Data Science is an integrated science program with major disciplines like Computer Science, Mathematics, Artificial Intelligence and Analytics. Most of the colleges have the same syllabus of bsc science but it can slightly vary in elective and practical subjects. The syllabus of this course is prescribed by various Universities and Colleges:
Semester 1 | |
Course Title | Credit |
Web Technologies | 4 |
Mechanics | 4 |
Communication Skills | 4 |
Introduction To Computer Science And Programming In Python | 4 |
Management Thoughts And Applications | 3 |
Introduction To Computer Science And Programming In Python Lab | 1 |
Web Technologies Lab | 1 |
Mechanics Lab | 2 |
Semester 2 | |
Course Title | Credit |
Ordinary Differential Equations | 4 |
Environmental Studies | 3 |
Languages Of Data Modeling | 4 |
Open Elective | 3 |
Object-Oriented Programming | 4 |
Languages Of Data Modeling Lab | 1 |
Object-Oriented Programming Lab | 1 |
Ordinary Differential Equations Lab | 2 |
Semester 3 | |
Course Title | Credit |
Operating Systems | 4 |
Data Structures | 4 |
Computer Networks | 4 |
Probability And Statistics | 4 |
Foundation Of Computer Systems | 4 |
Disaster Management | 3 |
Operating Systems Lab | 1 |
Computer Networks Lab | 1 |
Data Structures Lab | 1 |
Probability And Statistics Lab | 2 |
Semester 4 | |
Course Title | Credit |
Software Engineering | 4 |
Artificial Intelligence | 4 |
Database Management Systems | 4 |
Linear Algebra | 6 |
Analysis And Design Of Algorithms | 4 |
Software Engineering Lab | 1 |
Artificial Intelligence Lab | 1 |
Database Management Systems Lab | 1 |
Analysis And Design Of Algorithms Lab | 1 |
Semester 5 | |
Course Title | Credit |
Statistical Data Analysis | 4 |
Data Mining And Predictive Modeling | 4 |
Statistical Data Analysis Lab | 1 |
Data Mining And Predictive Modeling Lab | 1 |
Programming in MATLAB | 2 |
Programming in MATLAB LAB | 1 |
DSE -1 | 3 |
DSE -1 LAB | 1 |
DSE - 2 | 3 |
DSE - LAB | 1 |
Semester 6 | |
Course Title | Credit |
Internet Technologies | 4 |
Blockchains | 4 |
Computer Organization & Architecture | 4 |
Neural Network | 4 |
Blockchains Lab | 1 |
DSE -3 | 4 |
DSE -3 LAB | 1 |
Major Project | 6 |
BSC in Data Science Course Highlights
Programme full name | Bachelors of Science in Data Science |
Programme Level | Degree |
Duration of the Program | 3 years |
Examination Type | Year |
Eligibility Criteria | 10+2 |
Admission process | Entrance Exam |
About KR Mangalam University
The school of Engineering and technologies at KR Mangalam University offers various undergraduate and postgraduate programmes to students. The programmes offered by KRMU equips the students with in-depth knowledge and skills to provide a professional approach and a platform to students to showcase their talents.
KRMU prepares the students in such a way that they can meet the requirements of current scenarios in the engineering world.
SOET brings together academicians and professionals to impart knowledge and techniques to students that help them to shape a bright future.
The curriculum is designed in a balanced way that includes all the important aspects that are required in each and every field. The School of Engineering and Technology provides students with good infrastructure facilities and practical knowledge to design various models. Our mission is to foster employability and entrepreneurship through good curriculum pedagogy.
We enhance leadership qualities among the youth's understanding of ethical values.
KRMU Admission 2022
Eligibility criteria
Educational qualifications
The base capability to apply for this course is passing class 12th with a minimum of 55% aggregate marks from CBSE or any equivalent board.
Age Limit
The aspirant age should not be less than 22 years.
Admission Process
Admission to BSC Data science depends on various criteria. It may vary from the type of entrance exam and the university accepted admission exams.
- Most of the universities provide admission based on the score secured by the aspirants on the basis of National or State Level scores followed by the written test and personal interview to evaluate candidates skills and abilities.
- Few of the universities carry out their own admission exam to evaluate the performance of the aspirants.
- Also, some of the universities give admission on a merit basis and management quota.
Career Options
As the world is changing with the latest trends and technologies the career opportunities are also evolving. After the completion of the course, aspirants will be able to identify various plans, techniques and analyze big data efficiently and accordingly can pursue their careers. Some of the top career options that a student may choose to pursue are listed below:
- Data Mining Engineer
- Machine Learning Engineer
- Data Scientist
- Statistician
- Data Solution Analyst
- Business Analyst
Scope
Nowadays, it is very clear that the world is evolving with the latest techniques and skills.
Today Data Scientist is one of the best career options for this decade as many aspirants wish to pursue a career in this field as it rewards one with a wide scope in present and future world.
BSC data science comprises various concepts and principles of Artificial Intelligence, Business Intelligence and various other topics. This course prepares various skill sets and provides opportunities to the students. With The rapid increase in business challenges and industries, universities are trying to cope up with the change and are making competitive efforts to create the future of students as data science experts. Good project guidance from experts is regularly provided to students and active participation of students and faculty in various competitions.
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