Integral University Lucknow M.Tech Advanced Computing: Fees 2026, Course Duration, Dates, Eligibility

Ans. The M.Tech Advanced Computing and Data Science is a specialized track within M.Tech Computer Science Engineering that focuses specifically on advanced computing techniques, machine learning, artificial intelligence, and big data analytics. The regular M.Tech CSE covers broader computer science topics. Both programs have the same duration (2 years), similar fees (Rs 85,000 per annum), and admission requirements (55% marks in B.Tech/BE/MCA). However, the Advanced Computing specialization is ideal if you want to focus on data science, AI, and emerging technologies. The curriculum, projects, and industry interactions are tailored toward these specializations, making it more suitable for students interested in data-driven roles.

Ans. GATE is not mandatory; you have the option to take either IUET 2026 or GATE. IUET (Integral University Entrance Test) is conducted every Monday from 10:00 AM to 11:30 AM at the university campus and covers Computer Science (75 questions) and General Studies (25 questions) in 90 minutes. If you have already qualified GATE, you can submit your score card for exemption from IUET, which can expedite your admission process. IUET is university-specific and may be easier to prepare for if you're familiar with Integral University's curriculum, while GATE is a national-level exam that is more competitive but also recognized across multiple institutions.

Ans. M.Tech Advanced Computing graduates from Integral University have excellent career prospects with a 90% placement rate. The average package is Rs 7-8 LPA, with the highest package reaching Rs 32.57 LPA. Top recruiters including TCS, Infosys, Wipro, Amazon, Flipkart, and Bank of America regularly visit the campus. Graduates typically work as data scientists, machine learning engineers, software engineers, AI specialists, and cloud architects in leading IT companies. The specialization in Advanced Computing and Data Science makes you highly competitive for roles in emerging technologies. The university's placement cell provides dedicated support for internships and job placements, and the curriculum is designed to meet industry requirements in data science, AI, and cloud computing.

Ans. Yes, Integral University offers multiple scholarships for M.Tech students. Merit-based scholarships are available based on your qualifying exam marks: 100% tuition fee waiver for 90%+ marks, 50% waiver for 85%+ marks, and 25% waiver for 80%+ marks. Additionally, you may be eligible for sibling scholarships (25% waiver if your sibling is enrolled), alumni scholarships (25% waiver), specially abled scholarships (50% waiver for 40%+ disability), or means-based scholarships for financially underprivileged students. The scholarship amount is calculated on the tuition fee only (Rs 85,000 per annum), not on hostel or other charges. You should apply during the admission process and provide necessary documentation to avail these benefits.

Ans. The tuition fee for the 2-year M.Tech Advanced Computing program is Rs 1,70,000 (Rs 85,000 per annum). Hostel fees are optional and range from Rs 85,000 to Rs 1,55,000 per annum depending on room type (non-AC triple occupancy to AC single occupancy), with a refundable security deposit of Rs 5,000. If you opt for hostel accommodation, the total cost would be approximately Rs 3,40,000 to Rs 4,60,000 for 2 years (tuition + hostel). Additional expenses include books, stationery, and miscellaneous charges, which typically amount to Rs 15,000-25,000 per year. Many students avail scholarships or educational loans to manage these costs. The university also offers flexible payment options; you should contact the admissions office for details on EMI or installment plans.

Ans. The M.Tech Advanced Computing and Data Science program equips you with advanced skills in machine learning, artificial intelligence, big data analytics, cloud computing, and data engineering. You will learn programming languages and tools commonly used in data science such as Python, R, Spark, and Hadoop. The program includes hands-on projects involving real-world data analysis, cloud platforms like AWS and Azure, and practical implementation of machine learning algorithms. You will also gain expertise in database management, data visualization, and statistical analysis. The curriculum is designed to meet current industry demands, and you will work on industry-relevant projects through collaborations with leading IT companies. Additionally, you will develop problem-solving skills, technical communication abilities, and experience in working with large-scale data systems, making you well-prepared for roles in data science, AI, and cloud computing sectors.