BCA - Data Science

By yuvraj, 12 August, 2023
Unique URL
/school-of-computer-science/bca/data-science
Components
Banner Items
Title
<span>Bachelor of Computer Application (BCA) </span>Data Science
Image
Infrastructure Development Banner
Mobile Image
Infrastructure Development Banner
Banner Type
Inner Page Banner
Title
Bachelor Of Computer Application (BCA) - DATA SCIENCE
Html Type
Main Heading Content
Key Value items
Key
#section1
Value
Course Details
Key
#section2
Value
Enquiry Form
Component Items
Title
Program details
Component Items
Description

The Bachelor of Computer Application (BCA) program in Data Science offered by UPES School of Computer Science is a pioneering course that was initiated at UPES. The curriculum of this program has been meticulously designed by a collaboration of industry experts and renowned academics. Each semester of the program is structured to ensure that students grasp both the foundational concepts and real-world challenges through immersive case studies. Starting with an exploration of physics, electronics, and networking principles, students gradually delve into the intricacies of these fields, equipping them to tackle intricate technical aspects and formulate practical solutions using prototype development.

An integral part of the curriculum comprises a range of industry-focused projects, encompassing both minor and major undertakings. These projects are accompanied by mentorship from seasoned professionals who guide students in approaching real-world problem statements and devising innovative solutions. The program also introduces an exclusive component known as "Industry Connect," facilitating interactions between students and industry experts. This initiative offers valuable insights into emerging technologies and the dynamics of the industry, thereby preparing students to align their skill sets with industry demands.

Distinguishing itself further, the program emphasizes research involvement through a "Research Intern" feature. Faculty members actively engage undergraduate students in their ongoing research endeavors. This not only encourages students to contribute to cutting-edge research but also provides a platform for potential patent submissions, whether faculty-supported or student-initiated. Moreover, the institution extends comprehensive support to aspiring student entrepreneurs. This support ranges from mentorship to advice, nurturing a culture of innovation and resulting in the emergence of several successful entrepreneurs with noteworthy ventures. In conclusion, UPES School of Computer Science's Bachelor of Computer Application (BCA) program in Data Science stands out as an exceptional course that blends theoretical knowledge with practical application. Through a thoughtfully crafted curriculum, emphasis on industry relevance, research engagement, and entrepreneurial support, the program ensures that graduates are well-prepared to thrive in the dynamic landscape of IoT and related domains.

Title
Program Highlights
Component Items
Description
  • Developed in collaboration with industry experts, the program's curriculum is meticulously designed to meet the demands of the evolving IoT landscape. It ensures students gain a solid foundation in IoT technologies and applications.
  • Right from the start, students delve into IoT applications, with a strong emphasis on understanding the underlying concepts of physics, electronics, and networking. This foundational knowledge forms the basis for advanced IoT studies.
  • Instead of just theoretical knowledge, the program centers on practical integration. Students actively engage in hardware integration, working with sensors like Arduino and Raspberry Pi. This hands-on approach fosters a deep understanding of both hardware and software aspects.
  • The Bachelor of Computer Application (BCA) in Data Science program offers specialized subjects that cover essential IoT aspects. Topics include Introduction to IoT, sensor programming, protocol comprehension, wireless sensor networking, and IoT security. These subjects provide students with a holistic understanding of IoT technologies.
  • By blending theoretical concepts and practical skills, the program equips students with a well-rounded skill set required to excel in the dynamic IoT field. Graduates are prepared to contribute effectively to the design, development, and implementation of IoT solutions.
  • With a focus on real-world applications and hands-on experience, the program ensures that students are well-prepared for the challenges of the IoT industry. Graduates are poised to tackle IoT-related roles and innovations with confidence and competence.
Title
Future Scope / Industry Trends
Component Items
Description

The UPES School of Computer Science offers a Bachelor of Computer Application (BCA) in Data Science program that taps into the boundless potential of IoT across various industries. This program delves into the transformative impact of IoT, driven by AI and ML technologies. It emphasizes automation, where smart systems and devices are harnessed to enhance productivity and efficiency. Examples like self-driving cars and predictive maintenance highlight the program's innovation focus. The integration of AI and ML with IoT is also reshaping healthcare, revolutionizing diagnostics and treatment planning through AI-driven analysis of vast patient data. The IoT field, with its synergy with AI and ML, is driving real-time decision-making and productivity across smart homes, cities, and industries. The program emphasizes the crucial ethical dimension of IoT advancement, addressing privacy and transparency concerns. In summary, UPES's BCA in IoT program equips students to thrive in this dynamic landscape, leveraging the power of IoT, AI, and ML for holistic technological transformation while fostering responsible and ethical development.

Title
Career Opportunities
Component Items
Description

Upon completing the Bachelor of Computer Application (BCA) in Data Science from UPES School of Computer Science, graduates are presented with a plethora of captivating and rewarding career opportunities in the realm of IoT. As the technology continues to advance and revolutionize various sectors, the demand for skilled IoT experts is burgeoning. With their expertise in statistics, programming, and machine learning techniques, IoT engineers find promising prospects across diverse industries. They harness their skills to analyze extensive data, formulate predictive models, and design algorithms to tackle complex challenges in fields spanning healthcare, finance, fleet management, inventory control, smart cities, and intelligent power grids. In essence, the vast array of IoT job roles empowers individuals to contribute to cutting-edge electronic innovations and make substantial contributions across multiple sectors. Those equipped with the requisite knowledge and proficiencies stand to thrive in this dynamic landscape, given the escalating requirement for competence in smart devices.

Title
Placements
Component Items
Description

The Bachelor of Computer Application (BCA) program in Data Science at UPES School of Computer Science boasts impressive placement results. With an average annual salary of 4.36 Lakhs Per Annum (LPA), graduates of this program have secured a promising start to their careers. The highest offered package of 7.5 LPA showcases the program's potential to attract lucrative opportunities. Diverse companies spanning various sectors have participated in the recruitment process, such as Advanced Network Management, Expand my Business, Hike education, Instant Procurement Services Private Limited (ProcMart), LTIMindtree, Posist Technologies, Academor, Leadsquared, LEARNING ROUTES PVT LTD, Lifeworks, Phronesis Partners, and Sunfox Technologies. This range of placements signifies the program's effectiveness in preparing students for roles across industries and establishing a strong foundation for their professional journey.

Title
Fee Structure
Component Items
Description

Click here for detailed Fee Structure.

Title
Curriculum
Component Items
Description

Semester 1

CourseLTPCredit
Linux Lab0042
Programming in C3003
Programming in C Lab0042
Web Technologies 3003
Web Technologies Lab0021
Problem Solving2002
Living Conversation2002
Basic Mathematics I4104
Environmental Sustainability 
and Climate Change - I
2002
TOTAL   21

Semester 2

CourseLTPCredit
Data Structures and algorithms4004
Data Structures and algorithms Lab0021
Databases3003
Databases Lab0021
Python programming2002
Python programming Lab0042
Critical Thinking and Writing2002
Basic Mathematics II4004
Environmental Sustainability and 
Climate Change - II
2002
TOTAL   21

Semester 3

CourseLTPCredit
Advanced Databases3003
Advanced Databases Lab0021
Advanced Web Technologies 3003
Advanced Web Technologies Lab0021
Elements of AIML2002
Elements of AIML Lab0021
Exploratory-10003
Design Thinking1102
Applied Statistics and Probability3003
TOTAL   20

Semester 4

CourseLTPCredit
Data communication and Networks3003
Object Oriented Programming3003
Object Oriented Programming Lab  21
Operating Systems3003
Software Engineering3003
Exploratory-23003
PE-14004
PE-1 Lab 0021
TOTAL   20

Semester 5

CourseLTPCredit
Mobile Application Development3003
Mobile Application Development Lab0021
Exploratory-33003
Start your startup2002
PE-24004
PE-2 Lab 0021
Project-10005
Summer Internship0001
TOTAL   20

Semester 6

CourseLTPCredit
Cyber Security3003
Exploratory-43003
Leadership and Teamwork2002
PE-34004
PE-3 Lab0021
Project-20008
TOTAL   21

Semester 7

CourseLTPCredit
DevOps3003
Exploratory-53003
PE-4 4004
PE-4 Lab0021
PE-5 3003
PE-5 Lab0021
Project-30008
TOTAL   23

Semester 8

CourseLTPCredit
Industry 4.04004
Project-400010
Seminar0002
TOTAL   16

Program Elective 24 Credits

CourseLTPCredit
Fundamentals of Data 
Science
4004
Fundamentals of Data 
Science Lab
3003
Data Visualization and 
Interpretation
4004
Data Visualization and 
Interpretation Lab
0021
Machine and Deep 
Learning
4004
Machine and Deep Learning 
Lab
0021
Computational Linguistics and 
NLP
4004
Computational Linguistics and 
NLP Lab
0021
Generative AI3003
Generative AI Lab0021
TOTAL   24
Title
Eligibility
Component Items
Description

Interested students must meet the following minimum eligibility criteria to pursue a Bachelor of Computer Application (BCA) in Data Science: 50% marks in class X and XII with Mathematics / Computer Science / Information Technology as one of the major Subject in Class XII.

Title
Selection Criteria
Component Items
Description

The selection criteria for individuals who wish to enrol in the Bachelor of Computer Application (BCA) program with a specialization in Data Science at UPES is determined by their performance in Personal Interview/ CUET.

Title
Suggested videos
Component Items
Right Component
Column Type
Left Accordian with right Column
scrollPage Id
section1
Api Type
Enquiry Form
scrollPage Id
section2
Api Key
/need-more-information
Canonical URL
https://www.upes.ac.in/school-of-computer-science/bca/data-science
SEO Description
UPES offers BCA (Bachelor of Computer Application) with a specialization in Data Science, Know more about the Data Science course, syllabus, fees, placements, and eligibility.
SEO Title
BCA in Data Science Course, Syllabus, Admission, Fee | UPES
No Index
0