B.Tech. (CSE) Hons - Data Science and Big Data Analytics
Bachelor of Technology (Computer Science Engineering) Honours in Data Science and Big Data Analytics.
BEST UNIVERSITY FOR B.Tech. (CSE) Hons - Data Science and Big Data Analytics IN ROORKEE, UTTARAKHAND
B.Tech. (CSE) Hons – Data Science and Big Data Analytics is a specialized undergraduate program that merges Computer Science Engineering (CSE) with a focus on Data Science and Big Data Analytics. This program provides students with a deep understanding of data analysis, data mining, machine learning, and big data technologies. Students gain expertise in handling and processing large datasets, extracting valuable insights, and applying analytical models to solve real-world problems. The curriculum covers key areas such as data visualization, cloud computing, data mining, statistical analysis, and big data tools like Hadoop and Spark. This program is designed to equip students with the skills needed to thrive in the rapidly growing fields of data science, data engineering, and big data analytics, preparing them for high-demand roles across industries such as technology, finance, healthcare, and more.
- Develop Expertise in Data Science: Equip students with a deep understanding of data science concepts, including data mining, machine learning, and statistical analysis.
- Master Big Data Technologies: Provide hands-on experience with big data tools like Hadoop, Spark, and NoSQL databases to process and analyze large-scale datasets.
- Enhance Problem-Solving Skills: Enable students to apply data analytics techniques to solve real-world problems across industries like finance, healthcare, and technology.
- Practical Knowledge: Foster practical skills in data visualization, cloud computing, and data-driven decision making through projects and internships.
- Prepare for Industry Challenges: Equip students with the knowledge and tools needed to excel in high-demand careers in the growing fields of data science and big data analytics.
- Educational Qualification: Candidates must have completed 12th grade or its equivalent from a recognized board with Physics, Chemistry, and Mathematics.
- Minimum Marks: A minimum of 50-60% aggregate marks (depending on the institution) in Class 12 is typically required.
- Entrance Exams: Admission may require candidates to clear entrance exams like JEE Main, state-level exams, or specific institutional exams.
- Subject Prerequisites: Strong proficiency in Mathematics is essential, as the program involves data analysis, machine learning, and statistical techniques.
- JEE Mains/JEE Advanced
- University-Specific Exam (PUET)
Click here for a detailed Fee Structure.
Course Highlights
Course Benefits
Career Opportunities
Collaborations
Course Highlights
- Specialized Curriculum: Focuses on Data Science, Big Data Analytics, Machine Learning, and Data Mining to provide in-depth knowledge and expertise in data-related technologies.
- Industry-Relevant Tools: Hands-on experience with big data technologies like Hadoop, Spark, and NoSQL databases, preparing students for real-world data challenges.
- Practical Learning: Emphasis on data visualization, cloud computing, and practical problem-solving through projects, internships, and case studies.
- Research Opportunities: Exposure to advanced topics in data analysis, statistical modeling, and AI to foster innovation and research skills.
- High-Demand Career Paths: Prepares graduates for careers in fields such as data science, big data engineering, and analytics across various industries like finance, healthcare, tech, and more.
- Expert Faculty: Learn from experienced professors and industry professionals with extensive knowledge of data technologies and trends.
Course Benefits
- In-Demand Skills: Provides expertise in data science, big data technologies, and machine learning, all of which are in high demand across industries.
- Practical Knowledge: Students gain hands-on experience with tools like Hadoop, Spark, and NoSQL databases, enabling them to work with large datasets and solve real-world problems.
- Career Advancement: Graduates are well-equipped for high-paying roles such as data scientist, data analyst, and big data engineer in sectors like finance, healthcare, technology, and retail.
- Cutting-Edge Curriculum: Focuses on emerging topics such as cloud computing, data visualization, and AI, keeping students ahead of industry trends.
- Research and Innovation: The program fosters research opportunities in advanced areas of data analysis and statistical modeling, allowing students to contribute to innovations in the field.
- Global Opportunities: The skills learned prepare graduates to pursue careers not only in India but also in international markets where data science and big data analytics are rapidly growing fields.
Career Opportunities
- Data Scientist: Analyze complex data to uncover trends, patterns, and insights that drive strategic decision-making.
- Big Data Engineer: Design, build, and maintain the infrastructure for handling large-scale datasets using tools like Hadoop and Spark.
- Machine Learning Engineer: Develop machine learning models and algorithms to improve the accuracy and efficiency of data-driven systems.
- Data Analyst: Use statistical and analytical techniques to interpret and present data, helping organizations make informed business decisions.
- Business Intelligence Analyst: Provide data-driven insights to improve business strategies and operations across various industries.
- Data Architect: Design and implement databases and data systems that store, manage, and process large volumes of data effectively.
- AI/ML Specialist: Work on building artificial intelligence systems and machine learning models for applications in automation, healthcare, finance, and more.
Collaborations
The program is supported by partnerships with leading companies and organizations in the tech industry. These collaborations ensure that the curriculum is aligned with industry standards and provide students with opportunities for internships, mentorships, and live projects. Some of the key collaborators include:
- IBM Eduskill: Empowering students with industry-relevant training and certifications in cutting-edge technologies.
- Samatrix: Delivering specialized modules and hands-on learning in cybersecurity and blockchain.
- IBM SkillBuild: Providing a platform for mastering essential technical skills and practical expertise in emerging technologies.
- Blockchain startups and enterprises driving innovation.
- Academic alliances with global institutions for knowledge exchange.
PLACEMENT
CAREER PROSPECTS
A B.Tech in Computer Science and Engineering (CSE) with a specialization in Data Science and Big Data Analytics offers excellent career prospects in today’s data-driven world. Graduates can pursue roles such as data scientists, big data engineers, machine learning engineers, business intelligence analysts, and data architects across various industries like healthcare, finance, e-commerce, technology, and retail. As organizations increasingly rely on data to make informed decisions, professionals skilled in analyzing large datasets, developing predictive models, and utilizing advanced analytics tools are in high demand. Graduates can also explore opportunities in AI-driven applications, cloud computing, and data visualization. The growing importance of big data technologies like Hadoop, Spark, and NoSQL databases ensures that data science and analytics professionals are pivotal to business innovation and operational efficiency. With the opportunity for further specialization through certifications or advanced studies, a B.Tech in CSE with Data Science and Big Data Analytics offers long-term career growth, leading to leadership roles, consultancy positions, or even entrepreneurial ventures in the ever-expanding tech industry.
FAQs
B.Tech. (CSE) Hons – Data Science and Big Data Analytics is an undergraduate program that combines Computer Science Engineering (CSE) with a specialization in Data Science and Big Data Analytics. The program equips students with knowledge in areas like data mining, machine learning, big data tools like Hadoop and Spark, and statistical analysis, preparing them for careers in the growing data-driven industry.
To be eligible for the B.Tech. (CSE) Hons – Data Science and Big Data Analytics program, candidates must have:
Students will gain essential skills in:
Graduates of the program can pursue careers in:
These roles are in high demand across industries such as technology, finance, healthcare, e-commerce, and more.
The B.Tech. (CSE) Hons – Data Science and Big Data Analytics program typically takes 4 years to complete on a full-time basis. Some institutions may offer flexible learning options.
The program covers a variety of subjects including:
Unlike a regular B.Tech. in CSE, the Hons – Data Science and Big Data Analytics program focuses specifically on data analysis, machine learning, big data technologies, and AI, preparing students for specialized roles in data-driven industries. The program emphasizes practical, hands-on experience with the latest tools and technologies in the data science field.
* For further details, refer to T&C Click Here.
The University offers hostel facilities with designated residential blocks for both boys and girls, available on a first-come, first-served basis. Accommodation is provided on a triple-sharing arrangement. Students who wish to avail themselves of on-campus hostel facilities are required to deposit the fee in advance.