BCA Specialization in Data Science | Career Point University, Kota

CPUEST for B.Tech/ BCA/ BBA/ MBA/ MCA

  • Eligibility: Only for students seeking admission to B.Tech, BCA, BBA,  MBA, MCA.
  • Mode of Test - Proctored Online
    1. At Center (CP Tower)
    2. At Home
  • Test Date
    1. Scheduled Dates at Center 
    2. On Demand
    3. Schedule Dates

      Phase

      Saturday

      Sunday

      Time

      Phase-1 

      12 April

      13 April


      Slot1: 10:00 am to 11:30 am

      Slot 2: 04:00 pm to 05:30 pm

      19 April

      20 April

      26 April

      27 April

      Phase-2

      03 May

      04 May




      10:00 am to 11:30 am

      04:00 pm to 05:30 pm

      10 May

      11 May

      17 May

      18 May

      24 May

      25 May

      31 May

       

      Phase-3

       

      01 June




      10:00 am to 11:30 am

      04:00 pm to 05:30 pm

      07 June

      08 June

      14 June

      15 June

      21 June

      22 June

      28 June

      29 June

  • Test Pattern

    Test For

    Syllabus

    Duration

    Marking Pattern

    Max Marks

    B.Tech

      PCM

    90 Mins

     

    180

    BCA

    Aptitude Test

    60 Mins

     

    120

    MCA

    Aptitude Test

    60 Mins

     

    120

    BBA

    Aptitude Test

    60 Mins

     

    120

    MBA

    Aptitude Test

    60 Mins

     

    120

  • Scholarship: 10% based on performance in CPU-EST

Website/News paper
Scholarship:  up to 50% based on performance in qualifying exam / Scholarship Tests

Scholarship Offering Guidelines for Team Leads and Counsellors:

  • Those who are getting scholarship on the basis of past academic performance should not be advised to appear for scholarship unless it is required for conversion with higher scholarship.

  • Those who are not getting any scholarship may be advised to appear for scholarship to offer some discount in fee and create urgency for taking admission.

BCA Specialization in Data Science

Other Specialization:

Overview

Bachelor of Computer Application (BCA) program in Data Science is a comprehensive three-year course designed to equip students with a strong foundation in computer science and advanced skills in data analytics. The curriculum covers core subjects such as Programming Languages (C, C++, Java), Data Structures, and Database Management Systems, alongside specialized modules in data science, machine learning, statistical analysis, and big data technologies like Hadoop and Spark. Students engage in hands-on projects and internships to apply data science techniques to real-world scenarios, gaining practical experience. Our expert faculty, industry-aligned curriculum, and emphasis on practical learning ensure that graduates are well-prepared for roles such as Data Scientist, Machine Learning Engineer, Big Data Engineer, and Business Intelligence Analyst. We also provide career support services, including counseling and placement assistance, to help students transition smoothly into the data-driven industry. With a focus on holistic development encompassing technical skills, soft skills, and critical thinking, our specialized BCA program in Data Science offers a comprehensive pathway to success in the dynamic field of data analytics and machine learning.

University's Accomplishments and Impact

3000+

Placements So Far

66 Lakhs

Highest Package

30

Startups

130

Patent Published

1250+

Research Publication

905

National & Int'l Journal

Trust of more than, 10,000 Students

Scope of BCA Specialization in Data Science

According to US Bureau of Labor Statistics, The employment outlook for computer and information technology occupations is exceptionally promising, with a projected growth rate significantly higher than the average across all occupations from 2022 to 2032. On average, approximately 377,500 job openings are anticipated each year within these fields. This surge is attributed to both the expansion of employment opportunities and the imperative to fill positions vacated by workers departing these occupations permanently. The robust projection underscores the ongoing demand for skilled professionals in the computer and information technology sectors over the next decade.

Course Structure BCA Data Science

Our B.Tech program in Artificial Intelligence and Machine Learning (AI & ML) combines theoretical and practical knowledge, offering a curriculum that covers programming, data structures, machine learning, deep learning, natural language processing, and big data analytics. The program provides a strong foundation in mathematics and statistics, along with specialized AI & ML topics.

The following table outlines the comprehensive course structure of the B.Tech AI & ML program. It is organized into core, elective, interdisciplinary, and skill enhancement components. Each category specifies the type of courses, their descriptions, and the corresponding credits, ensuring a well-rounded academic experience with a balance of foundational knowledge, research exposure, and professional ethics:

Category Short Name Description Credits
Departmental Core DC Discipline Specific Core Courses (DSC) 66
Departmental Core DC Project / Dissertation / Field Study / Survey 8
Departmental Core DC Seminar 2
Departmental Core DC Internship / on Job Experience 4
Departmental Core DC Research Credit Course 0
Departmental Elective DE Discipline Specific Elective Courses(DSE) 32
Program Linked Core PLC Interdeciplinary 10
Generic Elective GE Open courses/Generic Elective (GE) 0
University Core UC Ability Enhancement Courses (AEC) 4
University Core UC Skill Enhancement Courses (SEC) 8
Value Added Courses common for all UG (VAC) – Non Graded
University Core UC NSS/NCC 2
University Core UC Envionmental Science 2
University Core UC Human Values and Professional Ethics 2
This structure ensures students gain technical expertise, interdisciplinary perspectives, and ethical and environmental awareness, preparing them for dynamic careers in AI and ML.
S.No. Course Code Course L T P Total Credit Category Semester
1 CAL513 Fundamentals of Programming 3 0 2 4 DC 1st Sem
2 CAL516 PC Package 3 0 2 4 DC 1st Sem
3 CAL517 Fundamentals Of Computers & Information Technology 3 0 0 3 DC 1st Sem
4 MAL512 Mathematical Foundation for Computer Science 2 0 0 2 DC 1st Sem
5 CAL520 Departmental Elective-1 3 1 0 4 DE 1st Sem
6 Ability Enhancement Course-1 3 1 0 4 UC 1st Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 CAL557 Web Technology-I 3 0 2 4 DC 2nd Sem
2 CAL555 Data Analysis Using Python 2 0 2 3 DC 2nd Sem
3 CAL559 Database Management Sysytem 3 0 2 4 DC 2nd Sem
4 Departmental Elective-2 3 0 2 4 DE 2nd Sem
5 Departmental Elective-3 3 0 0 3 DE 2nd Sem
6 MAL552 Algebra & Differential Equations 3 0 0 3 PLC 2nd Sem
7 Ability Enhancement Course-2 2 0 2 3 UC 2nd Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 CAL611 Operating System 3 0 2 4 DC 3rd Sem
2 CAL612 Software Engineering 3 0 0 3 DC 3rd Sem
3 CAL613 Data Stuctures and Algorithms 3 0 2 4 DC 3rd Sem
4 CAL615 Object Oriented Programming and Concepts 3 0 2 4 DC 3rd Sem
5 CAD615 Minor Project 0 0 4 2 DC 3rd Sem
6 CAD619 Colloquium-I 0 0 4 2 DC 3rd Sem
7 Departmental Elective-4 2 0 2 3 DE 3rd Sem
8 Departmental Elective-5 2 0 2 3 DE 3rd Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 CAL623 Computer Organization and Architecture 3 0 0 3 DC 4th Sem
2 CAL624 Data Communication and Network 3 0 0 3 DC 4th Sem
3 CAL632 Programming in Java 3 0 2 4 DC 4th Sem
4 MAL680 Operation Research 3 1 0 4 PLC 4th Sem
5 CAL642 Web Technology 3 0 2 4 DE 4th Sem
6 Departmental Elective-6 2 0 0 2 DE 4th Sem
7 Departmental Elective-7 3 0 0 3 DE 4th Sem
8 CAD620 Seminar 0 2 0 2 DC 4th Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 CAD771 Colliquim 0 0 4 2 DC 5th Sem
2 CAL714 Cryptography and Network Security 3 0 2 4 DC 5th Sem
3 CAL715 Software Quality Mangement 3 0 0 3 DC 5th Sem
4 Departmental Elective-8 3 0 2 4 DE 5th Sem
5 Departmental Elective-9 3 0 0 3 DE 5th Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 CAL751 Unix and Shell Programming 2 0 2 3 DC 6th Sem
2 CAL756 Soft Computing 3 0 0 3 DC 6th Sem
3 CAD775 Major Project 0 0 8 4 DC 6th Sem
4 Departmental Elective-10 3 0 2 4 DE 6th Sem
Course Code Course L T P Credit
Ability Enhancement Course-1 2 0 0 2
Ability Enhancement Course-2 2 0 2 3
Course Code Course L T P Credit
CAL554 Management Information System 3 0 0 3
CAL520 Overview of Data Science and Foundation of Data Analysis 2 0 2 3
CAL562 Desktop Applications With VB.Net 3 0 2 4
CAL634 Internet of Things 2 0 2 3
CAL642 Web Technology 3 0 2 4
CAL644 Ethical Hacking 3 0 0 3
CAL637 Client Server Technology 3 0 0 3
CAL642 Web Technology 3 0 2 4
CSL731 Enterprise Resource Planning 3 0 0 3
CAL742 Computer Graphics & Multimedia 2 0 2 3
CAL751 Unix and Shell Programming 2 0 2 3
CAL752 Web Development Using ASP.Net 3 0 2 4
CAL753 Web Development Uisng Java 3 0 2 4
CAL754 Hybrid Mobile Application 3 0 2 4

Department
at a Glance

Exclusive
Labs

Your Department in a Nutshell

Admission Criteria

Fee Details

Course Fee
Admission Fee (one time)
5000/- (at the time of admission)
Tuition Fee
36000/- Per Semester
Examination Fee
3000/- Per Semester
Development Fee
3000/- Per Semester
Caution Money (one time)
3000/- (Refundable)

Scholarship Criteria

Based on performance in qualifying exam

% in Qualifying Class [1] Scholarship on Tuition Fee
Above 90% 20%
85% – 89.99% 10%
75% – 84.99% 5%
  • Early Admission Benefits Upto Rs. 3000/- Admission Taken Before 15th July 2024
  • Scholarship in Tuition fee (for all 6 semesters): up to 20% based on academic performance.

Why Join BCA Specialization in Data Science?

Joining a BCA specialization in Data Science can be a compelling choice for several reasons:

What makes Department
of BCA Specialization in Data Science unique?

The Department of BCA Specialization in Data Science can distinguish itself in several ways to offer a unique and compelling educational experience:

Placements

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Highest Package
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Frequently Asked Questions

BCA Specialization in Data Science at Career Point University

What is the duration of the BCA Specialization in Data Science program at Career Point University?

The BCA Specialization in Data Science program at Career Point University typically spans three years, divided into six semesters.

What are the eligibility criteria for admission to the BCA Specialization in Data Science program?

To be eligible for admission, candidates must have completed 10+2 (or equivalent) with a minimum aggregate score as per university guidelines. Additionally, proficiency in mathematics and computer science is preferred.

What makes the BCA Specialization in Data Science program unique at Career Point University?

Career Point University’s program stands out due to its industry-aligned curriculum, hands-on learning approach, and strong focus on practical skills development. Students benefit from state-of-the-art facilities, experienced faculty, and opportunities for internships and industry projects.

What topics are covered in the BCA Specialization in Data Science curriculum?

The curriculum includes foundational courses in computer science, mathematics, and statistics, along with specialized subjects such as data mining, machine learning, big data analytics, and data visualization.

Are there opportunities for internships and industry exposure during the program?

Yes, Career Point University facilitates internships and industry interactions to provide students with real-world experience and exposure to industry best practices. These opportunities help students apply theoretical knowledge in practical settings and enhance their employability.

What career opportunities are available after completing the BCA Specialization in Data Science program?

Graduates of the program can pursue diverse career paths in data analysis, machine learning, artificial intelligence, business intelligence, and related fields. They may work as data analysts, data scientists, business analysts, data engineers, or pursue advanced studies in the field.

Does Career Point University offer placement assistance to BCA Specialization in Data Science graduates?

Yes, Career Point University provides comprehensive placement assistance to its graduates, including career counseling, resume building workshops, mock interviews, and connections to potential employers. The university has a strong network of industry partners across various sectors.

How can I apply for admission to the BCA Specialization in Data Science program at Career Point University?

Interested candidates can apply for admission online through the university’s official website or offline by visiting the admissions office. The application process typically involves submitting required documents, appearing for entrance exams (if applicable), and participating in counseling sessions.

Is financial assistance available for students pursuing the BCA Specialization in Data Science program?

Career Point University offers scholarships and financial aid programs based on merit, academic performance, and financial need. Eligible students can explore various scholarship opportunities and apply accordingly.

How can I learn more about the BCA Specialization in Data Science program at Career Point University?

For more information about the program structure, admission requirements, faculty profiles, and facilities, prospective students can visit the university’s website, contact the admissions office, attend information sessions, or schedule campus visits.

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