B.Tech in Big Data Analytics from Matrix SkillTech University: Admission Process, Admission Open, Eligibility Criteria, Syllabus, Scope, FAQ.
Overview of the B.Tech in Big Data Analytics from Matrix SkillTech University
The B.Tech in Big Data Analytics at Matrix SkillTech University is a four-year undergraduate engineering program focused on training students in the techniques and tools necessary to analyze large datasets and derive meaningful insights for decision-making and business strategy.
Program Overview
This specialization is designed to equip students with the skills necessary to handle structured, semi-structured, and unstructured data generated continuously in today’s digital landscape. The curriculum emphasizes advanced analytics techniques, data storage, and visualization, preparing students for careers in data science, business intelligence, and big data management.
Key Features
- The program covers core subjects including engineering mathematics, data structures, databases, programming (Python/R), and big data technologies.
- Students learn practical skills through labs and projects on data visualization, predictive modeling, and cloud computing.
- The syllabus includes advanced topics such as machine learning, deep learning, natural language processing, and AI ethics.
Career Prospects
Graduates of this program are prepared for roles such as data analysts, data scientists, and big data engineers, with employment opportunities in industries like finance, healthcare, marketing, and IT.
This program is aligned with current industry demands, and students are taught to analyze data, identify market trends, and predict future patterns, ultimately aiding organizations in improving performance and profits.
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B.Tech in Big Data Analytics from Matrix SkillTech University Eligibility Criteria
The eligibility criteria for the B.Tech in Big Data Analytics program at Matrix SkillTech University are as follows:
- Candidates must have passed the 10+2 examination from a recognized board with physics, mathematics as compulsory subjects, along with chemistry, computer science, electronics, or related subjects.
- A minimum aggregate of 45% marks is required for general category candidates, and 40% for reserved category candidates in the relevant subjects taken together.
- There is also a provision for lateral entry: candidates with a minimum three-year or two-year (lateral entry) diploma in engineering/technology with at least 45% marks (40% for reserved categories) can seek admission.
- Alternatively, candidates with a B.Sc. degree from a recognized university with at least 45% marks and who have passed 10+2 with mathematics may also be eligible.
- Candidates may also be considered if they have B.Voc or 3-year D.Voc stream qualifications in a relevant or allied sector, with bridge courses provided for diverse academic backgrounds.
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B.Tech in Big Data Analytics from Matrix SkillTech University Why to do?
Pursuing the B.Tech in Big Data Analytics from Matrix SkillTech University is highly beneficial for several reasons:
- The program provides comprehensive skill development combining technical expertise in big data technologies with critical soft skills like communication and leadership, preparing students for the dynamic global job market.
- Â It offers hands-on experience through state-of-the-art labs, research projects, and industry collaborations that help students become industry-ready professionals.
- Graduates are well-equipped to analyze and interpret vast datasets using programming, data analysis, and machine learning, making them valuable assets in fields like finance, healthcare, marketing, IT, and more.
- The curriculum bridges theoretical knowledge with practical application, enabling students to solve real-world problems and innovate with data-driven solutions.
- Career opportunities for graduates include roles such as data scientists, big data engineers, business intelligence analysts, with scope in startups, multinational corporations, research and government sectors.
- The program also fosters entrepreneurial spirit through incubation centers and startup mentorship, supporting graduates who aim to launch their ventures.
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B.Tech in Big Data Analytics from Matrix SkillTech University Highlights
| Highlight | Details |
|---|---|
| Program Duration | 4 years |
| Eligibility | Minimum 50% marks in 10+2 with Physics, Chemistry, and Mathematics (PCM) subjects |
| Admission Process | Based on entrance exams (e.g., JEE Main, UPESEAT) or merit-based admission |
| Course Focus | Big Data techniques, data analytics, statistics, data mining, data visualization, programming, machine learning |
| Core Subjects | Engineering Mathematics, Data Structures, Database Management, Software Engineering, AI & Distributed Systems |
| Practical Exposure | Labs, projects, internships |
| Career Roles | Big Data Specialist, Data Scientist, Big Data Engineer, Business Intelligence Analyst |
| Top Recruiting Sectors | IT, Finance, Healthcare, Marketing, Research, Government |
| Average Course Fee | INR 1,00,000 to 6,00,000 (varies by institute) |
B.Tech in Big Data Analytics from Matrix SkillTech University Admission Process
The admission process for the B.Tech in Big Data Analytics program at Matrix SkillTech University is as follows:
- Candidates can apply for admission both online and offline through the university’s official website or admission office.
- After submitting the application form with the required documents, candidates may need to attend a counseling session and personal interview.
- Admission is based either on merit (based on 10+2 marks with Physics, Chemistry, and Mathematics) or through relevant national/state-level entrance exams like JEE Main, UPESEAT, VITEEE, KCET, or HITSEEE.
- Candidates must meet the basic eligibility criteria of having a minimum of 50% marks in 10+2 with PCM subjects.
- Some colleges may also offer direct admission based on academic performance without entrance exams.
- After the selection process, candidates must pay the admission fees to confirm enrollment.
- Document verification is done before the start of the academic session.
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B.Tech in Big Data Analytics from Matrix SkillTech University Syllabus
| Semester | Subjects |
|---|---|
| Semester I | Mathematics I, Physics, Programming and Data Structures, Big Data Overview, Basic Electronics Engineering, Design Thinking, English Communication |
| Semester II | Mathematics II, Chemistry, Advanced Data Structures, Database Management Systems, Environmental Science |
| Semester III | Design and Analysis of Algorithms, Computer System Architecture, Advanced Database Management Systems, Engineering Mechanics, Operating Systems, Functional Thinking I |
| Semester IV | Software Engineering & Project Management, Microprocessor & Embedded Systems, Distributed Ingestion, Advanced Programming using Java, Distributed Analysis, Open Elective-1 |
| Semester V | Object-Oriented Analysis and Design, Computer Graphics, Distributed Processing I, Functional Thinking II, Formal Languages and Automata Theory, Program Elective-1: Scalable Data Science |
| Semester VI | Artificial Intelligence, Data Communication and Computer Networks, Distributed Processing II, Data Exploration at Scale, Program Elective II: Big Data on Cloud, Open Elective- HSS |
B.Tech in Big Data Analytics from Matrix SkillTech University Scope
The scope of the B.Tech in Big Data Analytics from Matrix SkillTech University is very promising and aligns with the growing demand for data professionals worldwide:
- Graduates can pursue careers as Data Scientists, Big Data Engineers, Data Analysts, Business Intelligence Analysts, and Machine Learning Engineers in various sectors such as IT, finance, healthcare, retail, and government.
- The industry demand for big data skills is increasing rapidly due to the explosion of data and the need for data-driven decision-making in organizations, creating numerous high-paying job opportunities.
- Professionals skilled in data analytics, machine learning, AI, and cloud computing will find their expertise highly sought after in top companies and startups alike.
- Â Salary prospects are strong, with entry-level roles offering around INR 5-10 lakh per annum and senior positions reaching up to INR 20-25 lakh or more depending on skills and experience.
- The career path includes possibilities for specialization and advancement into roles like AI Engineer, Research Scientist, and Data Engineering Lead as analytics becomes increasingly critical for business success.
- The scope also extends globally, with data analytics professionals in demand across international markets, offering opportunities for work abroad and remote positions.
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B.Tech in Big Data Analytics from Matrix SkillTech University FAQ
Q: What is the duration of the B.Tech in Big Data Analytics program?
A: The program duration is 4 years, divided into 8 semesters.
Q: What are the eligibility criteria for admission?
A: Candidates must have passed 10+2 with Physics, Chemistry, and Mathematics, securing at least 45-50% aggregate marks depending on category.
Q: What is the admission process?
A: Admission may be through national or state-level entrance exams such as JEE Main or merit-based selection followed by counseling. Applications can be submitted online or offline.
Q: What subjects are covered in the syllabus?
A: The syllabus includes Mathematics, Data Structures, Database Management, Big Data Technologies, Machine Learning, Distributed Systems, and electives in scalable data science and cloud computing.
Q: Are there practical or project components in the course?
A: Yes, students engage in labs, internships, and project work to gain hands-on experience.
Q: What career opportunities are available after this degree?
A: Graduates can work as Data Scientists, Big Data Engineers, Data Analysts, Business Intelligence Analysts, and more in sectors like IT, finance, healthcare, marketing, and government.
Q: Is the university equipped with placement support for graduates?
A: Yes, Matrix SkillTech University has a dedicated placement cell assisting students with internships and job placements.
Q: Can working professionals pursue this program?
A: The university may offer flexible learning options suited for working professionals.
Q: What skills will I acquire in this program?
A: Students gain expertise in big data tools, statistical analysis, programming (Python/R), machine learning, and data visualization techniques.
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