Sree Chitra Thirunal College of Engineering is Situated State of Kerala India. Sree Chitra Thirunal College of Engineering is Private institute. Sree Chitra Thirunal College of Engineering is Established in 1995. Sree Chitra Thirunal College of Engineering is Approved by AICTE. Sree Chitra Thirunal College of Engineering is Provide B.Tech in Data Science and Analytics is 4 year Completed Programs. B.Tech in Data Science and Analytics is a undergraduate engineering degree course. B.Tech in Data Science and Analytics is an undergraduate degree program that focuses on equipping students with the skills and knowledge to analyze and interpret complex data. This field combines elements of computer science, statistics, and domain-specific knowledge to solve real-world problems using data. The program prepares students for careers where data-driven decision-making is crucial, spanning various industries such as finance, healthcare, technology, and more. Candidate should have appeared for the JEE-Mains exam or the other entrance exam as may be prescribed by the particular institute, if they consider entrance exam based admissions. Sree Chitra Thirunal College of Engineering Offered facilities include Hostels, Cafeteria, Medical centres, Sports, Library, Laboratories, and internet facility.
| Institute Name | Sree Chitra Thirunal College of Engineering Thiruvananthapuram |
| Established Year | 1995 |
| Approved By | AICTE |
| Type | Private |
| Address | Thiruvananthapuram, Kerala India 695018 |
| E-Mail | |
| Official Website |
Students need to take the required standardized tests and wait for results. The JEE releases test scores. After this time, students ought to prepare the documents for application. International students have to start applying to their selected universities.
The Admission form is provided in the official website of the Sree Chitra Thirunal College of Engineering –
Open the application form and fill in all the required details accurately.
Candidates should upload their passport size photographs with 10th and 12th marksheet certificates.
Once the application form is filled, submit the application form by uploading the asked documents.
10th and 12th mark sheet.
Graduation and Post Graduation mark sheet.
Passing Certificate.
Migration Certificate.
Character Certificate.
Caste Certificate.
A passport size photograph.
Photocopy of all the documents.
The registration/ application form will be released by colleges or universities for their own entrance examination.
JEE Mains entrance exam scores are widely accepted for admission purposes. However, admissions are also based on the candidate's academic merit only in some colleges.
The college or universities release the merit lists on their official admission portal.
The counseling sessions will be provided to all the students who have cleared the minimum cut off.
| Particulars | Details |
| Course Name | B.Tech in Dairy Technology |
Course Full Form | Bachelor of Technology in Dairy Technology |
| Course Level | Bachelor Degree Courses |
| Eligibility | 10+2 with PCM or PCB with minimum 50% marks from any recognized board |
| Duration | 4 years |
Job Positions | Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, etc. |
Top Recruiters | Google, Microsoft, Amazon, Facebook, IBM. |
Job Market Demand: There is a strong and growing demand for data science and analytics professionals across various industries. Organizations are increasingly relying on data to make informed decisions, drive innovation, and gain competitive advantages.
Career Opportunities: Graduates have access to diverse career paths, including roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These roles are critical in sectors like finance, healthcare, technology, retail, and more.
Attractive Salaries: Data science and analytics roles are among the highest-paying jobs in the tech industry. The specialized skills required for these positions often command premium salaries.
Job Security: Given the high demand for data professionals, job security in this field is relatively strong. Organizations are continually seeking skilled individuals to manage and interpret their data.
Versatility: Data science and analytics skills are applicable in various domains, including finance, healthcare, marketing, e-commerce, and government. This versatility allows graduates to work in industries that match their interests and career goals.
Impactful Work: Data professionals play a crucial role in solving complex problems, optimizing processes, and making strategic decisions that can significantly impact businesses and society.
Candidates must have cleared their 10+2 level examinations with Physics, Chemistry and Biology as compulsory subjects.
The qualifying aggregate score required in Class 12 is at least 55% and above.
Candidates having a 3-year Diploma in the related field from a recognized university are eligible to apply for Lateral Entry admissions.
JEE Main
JEE Advanced
WBJEE
VITEEE
SRMJEE
KEAM
Know your syllabus well: The syllabus of the entrance exam is one of the important factors that candidates should look out for as it helps students to concentrate during the entrance exam.
Make a plan: Create a course plan that helps students plan their studies accordingly so that they can maintain a balance between both.
Participate in innovation competitions: Participate in various innovation competitions to test your knowledge of designing a system and making a fully functional application under different conditions set by the organizers.
Stay updated: Subscribe to our weekly magazine and website to stay updated on the latest trends and innovations in technology.
Semester 1 | Semester 2 |
Mathematics for Engineers Introduction to Programming Engineering Physics Engineering Mechanics Communication Skills Environmental Science | Applied Mathematics Object-Oriented Programming Database Management Systems (DBMS) Introduction to Data Science Technical English Engineering Graphics |
Semester 3 | Semester 4 |
Data Structures and Algorithms Statistics for Data Science Data Mining Data Visualization Probability and Statistics Elective 1 (e.g., Time Series Analysis, Advanced Statistical Methods) | Machine Learning Big Data Technologies Data Warehousing and ETL Introduction to Artificial Intelligence Elective 2 (e.g., Natural Language Processing, Computational Intelligence) Internship I |
Semester 5 | Semester 6 |
Advanced Machine Learning Deep Learning Business Intelligence Ethics in Data Science Elective 3 (e.g., Recommender Systems, Financial Analytics) Project Work/Case Studies - Hands-on projects involving real-world data analysis problems | Cloud Computing for Data Science Data Science for Social Good Capstone Project I Elective 4 (e.g., Health Informatics, Sports Analytics) Entrepreneurship and Innovation Internship II |
Semester 7 | Semester 8 |
Advanced Data Analytics Data Science Research Methods Capstone Project II Elective 5 (e.g., Blockchain for Data Security, Advanced Predictive Analytics) Professional Practice and Ethics Seminar and Industry Interaction | Final Project/Thesis Job Placement Preparation Elective 6 (e.g., Computational Geometry, Smart Cities Analytics) Seminar and Review - - |
Data Scientist: Designing and implementing models to extract insights and predictions from data.
Data Analyst: Analyzing data to support decision-making and business strategy.
Machine Learning Engineer: Developing machine learning models and algorithms.
Business Intelligence Analyst: Using data to drive business decisions and strategies.
Data Engineer: Building and maintaining data pipelines and infrastructure.
AI and Machine Learning Integration: Increased use of AI and machine learning for advanced data analysis and automation.
Big Data Growth: Continued expansion of big data technologies and techniques.
Ethics and Privacy: Growing focus on ethical data use and compliance with privacy regulations.
Cloud Computing: Enhanced use of cloud platforms for data storage and processing.
Ques. What is the Future Scope of a B.Tech in Data Science and Analytics?
Ans. The Future Scope of a B.Tech in Data Science and Analytics is broad and includes various aspects of data handling, analysis, and interpretation. Students gain skills in statistical analysis, programming, machine learning, data visualization, and big data technologies. The program prepares graduates for roles in multiple industries, such as finance, healthcare, technology, retail, and government, where data-driven decision-making is crucial.
Ques. What are the eligibility criteria for admission?
Ans. Candidates need to have completed their 10+2 education with a background in Mathematics and Science. Most universities require a minimum percentage in high school and may also have entrance exams or interviews as part of the admission process. Specific eligibility criteria can vary by institution, so it's important to check the requirements of the particular university you are interested in.
Ques. Are there internship opportunities available during the course?
Ans. Yes, most programs include internships as part of the curriculum. These internships provide practical experience and exposure to real-world data problems. Students typically complete one or more internships during their studies to gain hands-on experience and build industry connections.
Ques. What are the major tools and technologies taught in this program?
Ans. Students learn to use various tools and technologies, including:
Programming Languages: Python, R, Java.
Data Analysis Tools: Pandas, NumPy.
Machine Learning Frameworks: Scikit-learn, TensorFlow, Keras.
Big Data Technologies: Hadoop, Spark.
Data Visualization Tools: Tableau, Matplotlib, D3.js.
Database Systems: SQL, NoSQL databases like MongoDB.
Ques. Can I pursue higher studies after completing this degree?
Ans. Yes, graduates can pursue higher studies such as a Master’s or Ph.D. in Data Science, Artificial Intelligence, Machine Learning, or related fields. Higher studies can further specialize their knowledge and open up advanced research and academic opportunities.
