MCA Data Science at CU Lucknow, Slides of Data Structures and Algorithms

MCA in Data Science is a two year post graduate course aimed at providing students with sophisticated knowledge in computer applications, statistical modeling, and problem solving which uses data science. The program encompasses major aspects such as data mining, big data analytics, artificial intelligence, machine learning, cloud computing, and data visualization. In addition to the above, Real-world projects, internships, and the working process with the industry-standard tools like Python, R, SQL, Hadoop, and TensorFlow help students to gain practical experience.

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2025/2026

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Data Science , This MCA Data Science Program is designed provide expert-led training, practical exposure to advanced data science concepts and internationally recognized certifications, Best MCA in Data Science University in Uttar Pradesh, India MCA in Data Science is a two year post graduate course aimed at providing students with sophisticated knowledge in computer applications, statistical modeling, and problem solving which uses data science. The program encompasses major aspects such as data mining, big data analytics, artificial intelligence, machine learning, cloud computing, and data visualization. In addition to the internships, and the working process with the industry-standard tools like Python, R, SQL, Hadoop, and above, Real-world project: TensorFlow help students to gain practical experience. Program Highlights Program Overview ‘The Master af eamputer applications In data science comaines the basic krowledge in ‘computer science with more sophisticated dala science techniques, providing students with cnalytical, technical and problem solving skills, raqulred to be successful In any empirical data related career such as data analysis, artiticial intelligence and business inteligence. Graduates are ready to be productive members of crganizations in the data werld, Career Pathways Placement Assistance: Benefit from dedicated career guidance, skil-building workshops, end direct access to top recruiters, ensuring a wool! Lansition from avedernia Lo industry. ;duates propored for rales such Rata Analysts # Mata Sclentis's + ALExperts + Machine Leeming Engineers Practical Exposure The purpose of the MCA Data Sclence Frogram is to oer expert-driven training, as well 2s practical exposure to advanced cunceuls of dal science. In view of Une above Facte, we have our labs where we offer the pxperlantial learning and training of the students in a skill-basec manner. Program Overview ‘The Master of computer applications In cata science combines the kasic knowledge in computer science with more sophisticated data science Lechniques, providing sludents with analytical, technical ane problem solving Skills, required to he successful In any empirical data related career such es dat analysis, artiticial intelligance and busin Intell gence. Graduales are ready l productive members of organizati Gata world, Curriculum Approach ‘Specialization Track: The Specialization Tracks of the MCA Data Scierce program offer ‘exhaustive knowledge in specite cutting-edge computing and technology areas depending on the student area of interest in thoir professional pursults. Students get hands-on ‘experience with industry pioneers in Al R&D, Data Science, and Cloud Al Engineering. Practical Exposure ‘The purpose of the MCA Nata Selence Program is to offer expert-driven training, as ‘well as practical excosure to advancad, concepls of dala science. In view of Lhe above facts, we have our labs where we offer the experlential learning and tralning of the studerts ina skil-tased manner. Academic Highlights The Master of Computer Applications in Data Science integrates foundational computer science knowledge with advanced data science techniques, equipping students with analytical, technical, and problem-solving skills Learning Outcomes = Use statistical models, algorithms, and current facilities like Python, B, SQL, Hadoop and TensorFlow to find solutions to real world problems. = Learn to analyze, interpret and visualise complex data to make well-informed decisions. Design and execute business and research solutions which are scalable and data driven. Enhance innovation in computing and analytics through critical thinking, problem-solving, and research. Become Data Scientists and Machine learning engineers, data analysts or obtain higher education and research in new areas. Course Curriculum The course curriculum has been carefully crafted to offer a comprehensive and industry-relevant educational experience. It comprises Major (Core) Courses, Ability Enhancement Courses, Minor Stream, Skill Enhancement Courses, ultidisciplinary/Interdisciplinary/Open Elective, Value Added Courses, Summer Internship, Research Projects and certifications. Chandigarh University, Uttar Pradesh, India, MCA in Data Science Eligibility & Fee Details A candidate shall have passed the qualifying examination of B.C.A/ B.Sc. (Computer Science)/ B.Sc. (IT) / BE. (CSE)/ BTech(CSE) / B.E. (IT) / Blech, (IT) at Graduation level with 55% aggregate. Program Fee Amount (per semester) Duration ‘Semester Fee (For Indian Students) 85000/- INR SAARC Fee 104000/- INF 2.0 Years International Fee 2200/- USD CUCET - 2026 rewards your academic brilliance with global opportunities & extraordinary assistance with upto 100% Scholarships. CUCET Phase | Parameters (CUCET Scholarship Amount to Amount pay after CUCET Scholarship 90.01 - 100 85000 /- INR NIL 80-90 42500 /- INR 42500 /- INR 70 - 79.99 34000 /- INR 51000 /- INR 60 - 69.99 25500 /- INR 59500 /- INR 50 - 59.99 21250 /- INR 63750 /- INR 40 - 49.99 12750 /- INR 72250 J- INR Career Prospects Benefit from dedicated career guidance, skill-building workshops, and direct access to top recruiters, ensuring a smooth transition from academia to industry. MCA in Data Science has career opportunities in seve positions, which include Data Analyst, Data Scien Business Intelligence Analyst, Machine Learning Engineer, Al Specialist, Big Data Engineer, Database Administrator, Data Architect, Research Analyst, and Data Consultant. The industries that require evidence-based decision-making and smart systems the most include IT, finance, healthcare, e-commerce, education, and government - where graduates can be employed. Business Intelligence Analyst Data Analyst Machine Learning Engineer Al Specialist ©@ Data Scientist © Big Data Engineer ©@ Database Admi @ Data Architect @5 Al-Enabled Campus The power of Al is harnessed to its full potential to enhance traditional learning pedagogy for you and create a futuristic model of education. 2 Eco-Aware The campus harmoniously brings together eco-friendly initiatives, energy-efficient building, and green spaces, making it a testament to sustainability.