Bachelor of Technology (BTech) in Data Science is an undergraduate engineering program that focuses on data-driven technologies, statistical analysis, machine learning, artificial intelligence, and computational problem-solving. The program equips students with the ability to extract insights from large datasets and apply analytical techniques to solve real-world business and technological challenges.
BTech Data Science integrates core engineering concepts with programming, mathematics, and advanced data analytics tools. Students gain hands-on exposure to data visualization, predictive modeling, big data technologies, and AI-driven systems through practical labs, projects, and industry-oriented coursework.
This program is ideal for students aspiring to build careers in technology-driven sectors such as IT, finance, healthcare, e-commerce, research, and analytics-based industries. With the growing demand for data professionals, BTech Data Science offers strong career prospects and higher education opportunities globally.
BTech in Data Science is a four-year undergraduate engineering degree that focuses on data collection, processing, analysis, and interpretation using computational techniques. The program emphasizes programming, statistics, machine learning, artificial intelligence, and data-driven decision-making.
Students are trained to handle structured and unstructured data and develop intelligent systems capable of predictive and prescriptive analytics. The curriculum balances theoretical foundations with practical implementation through projects, internships, and case studies.
| Particular | Details |
|---|---|
| Program Name | Bachelor of Technology (BTech) in Data Science |
| Program Level | Undergraduate |
| Duration | 4 Years |
| Eligibility | 10+2 with Physics, Mathematics, and a Science Subject |
| Admission Process | Entrance Exam / Merit-Based |
| Mode of Study | Full-time |
The curriculum of BTech Data Science is designed to provide a strong foundation in engineering principles along with specialized data analytics skills. Subjects may vary slightly across universities but generally include:
Candidates seeking admission to BTech Data Science must meet the eligibility requirements set by universities and regulatory authorities.
Admission to BTech Data Science programs is generally based on entrance examinations or academic merit.
The total duration of the BTech Data Science program is four years, divided into eight semesters. The course structure includes classroom lectures, laboratory sessions, mini-projects, internships, and a final-year major project.
Graduates of BTech Data Science are in high demand across multiple industries due to the increasing reliance on data-driven decision-making.
Yes, BTech Data Science is a strong career option due to increasing reliance on data across industries. Companies require skilled professionals for data analysis and decision-making. Long-term growth prospects are excellent with continuous skill upgrades.
Candidates must have completed 10+2 with Physics and Mathematics as compulsory subjects. A science background helps in understanding analytical concepts. Minimum marks criteria vary by university.
BTech Data Science focuses more on data analytics, statistics, and machine learning. Computer Science Engineering covers broader software and system development topics. Data Science is more specialized toward data-driven roles.
Prior advanced programming knowledge is not mandatory. Basic computer awareness is sufficient at entry level. Programming languages are taught progressively during the course.
Yes, most universities include internships and industry-based projects. These provide practical exposure to real-world data problems. Internships enhance employability and hands-on learning.
Graduates can work as Data Scientists, Data Analysts, or Machine Learning Engineers. Opportunities exist in IT, finance, healthcare, and e-commerce sectors. Roles depend on skill specialization and experience.
Yes, graduates can pursue MTech, MS, MBA, or specialized certifications. Many students opt for higher studies in AI and Data Analytics. International education options are also available.
Yes, data science skills are used across multiple industries. Sectors like finance, marketing, and healthcare use analytics extensively. Domain knowledge combined with data skills adds value.
Yes, the degree is globally recognized. Data Science professionals are in demand internationally. Recognition depends on university accreditation and skill profile.