M.Tech in Computer Science and Engineering (Big Data)
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
About the Course
The M.Tech in Computer Science and Engineering with a specialisation in Big Data at Takshashila University is designed to provide advanced knowledge and hands-on expertise in the field of big data analytics. This programme focuses on managing, processing, and analysing vast amounts of structured and unstructured data using modern big data technologies. You will learn the principles of big data management, cloud computing, distributed systems, and machine learning techniques. The course equips you with the skills to process large datasets and extract valuable insights, preparing you for careers in industries that rely heavily on big data analytics, such as healthcare, finance, and e-commerce.
Course Curriculum
Year 1
In the first year, you will focus on core topics in computer science, including data structures, algorithms, cloud computing, and database management systems. You will also be introduced to big data technologies such as Hadoop and Spark.
Key Subjects: Big Data Technologies, Data Structures, Algorithms, Cloud Computing, Database Management, Data Analytics.
Year 2
The second year focuses on advanced big data concepts, including data mining, machine learning, and distributed data systems. You will also have the opportunity to work on a project that applies big data techniques to real-world problems.
Key Subjects: Machine Learning, Distributed Data Systems, Big Data Analytics, Data Visualisation, Project Work.
Programme Outcomes (POEs)
Upon completing the M.Tech in Computer Science and Engineering (Big Data), you will have developed the following competencies:
Big Data Analytics Expertise
You will gain the ability to process and analyse large datasets, applying advanced analytics techniques to extract meaningful insights.
Cloud and Distributed Systems Management
You will develop the skills to manage and optimise cloud computing platforms and distributed systems for big data applications.
Machine Learning and AI for Big Data
You will learn to apply machine learning and artificial intelligence techniques to big data to create predictive models and automate decision-making.
Data Management and Visualisation
You will acquire the skills to organise, store, and visualise large datasets, ensuring that data is easily accessible and actionable.
Big Data Security and Privacy
You will gain knowledge in securing big data systems, ensuring that sensitive data is protected and privacy regulations are adhered to.
Leadership in Big Data Projects
You will be prepared to lead teams in big data projects, applying your technical and managerial skills to deliver successful outcomes.
Programme Outcomes (POs)
The M.Tech in Computer Science and Engineering (Big Data) will help you achieve the following broader learning outcomes:
PO1: Deep Understanding of Big Data Technologies
You will gain a comprehensive understanding of big data frameworks, such as Hadoop and Spark, and how they can be used to process and analyse large datasets.
PO2: Proficiency in Machine Learning for Big Data
You will become proficient in applying machine learning algorithms to big data, enabling you to create intelligent systems that process vast amounts of data.
PO3: Data Management and Distributed Computing Skills
You will acquire the ability to manage data storage, retrieval, and processing in distributed computing environments.
PO4: Data Security and Privacy Knowledge
You will learn the principles of data security, ensuring that big data systems are secure and comply with relevant privacy regulations.
PO5: Project Management in Big Data
You will develop the skills needed to lead big data projects, collaborating with interdisciplinary teams to solve complex data problems.
PO6: Advanced Problem-Solving and Critical Thinking
You will develop strong problem-solving skills, enabling you to approach big data challenges with innovative solutions.
Programme Specific Outcomes (PSOs)
Through this programme, you will develop the following specific competencies:
PSO1: Expertise in Big Data Technologies
You will gain advanced knowledge of big data tools and technologies, such as Hadoop, Spark, and NoSQL databases, to process and analyse large datasets.
PSO2: Machine Learning for Big Data
You will develop the ability to apply machine learning algorithms to big data, enabling you to create predictive models and analyse complex datasets.
PSO3: Data Visualisation and Reporting
You will learn how to visualise large datasets using advanced tools, helping organisations make informed decisions based on data insights.
PSO4: Cloud Computing for Big Data
You will gain proficiency in using cloud platforms to manage, store, and process big data, ensuring scalability and efficiency.
PSO5: Data Security and Privacy for Big Data Systems
You will acquire the skills to secure big data systems and ensure the privacy of sensitive data, applying best practices in data security.
PSO6: Big Data Analytics for Business Solutions
You will learn to apply big data analytics techniques to solve business problems, improving decision-making and operational efficiency.
Career Scope
Graduates of the M.Tech in Computer Science and Engineering (Big Data) are in high demand across a range of industries, including finance, healthcare, e-commerce, and government. Career opportunities include:
Big Data Analyst
- Role: Analyse large datasets to derive meaningful insights and help organisations make data-driven decisions.
- Salary: ₹8,00,000 to ₹16,00,000 per annum.
Data Scientist
- Role: Design and implement machine learning models to analyse large datasets, creating predictive models and algorithms for decision-making.
- Salary: ₹10,00,000 to ₹20,00,000 per annum.
Big Data Engineer
- Role: Develop and optimise big data infrastructure, ensuring that large datasets are processed and analysed efficiently.
- Salary: ₹9,00,000 to ₹18,00,000 per annum.
Cloud Data Engineer
- Role: Build and manage cloud-based data systems that store and process big data for various applications.
- Salary: ₹10,00,000 to ₹18,00,000 per annum.
Business Intelligence Analyst
- Role: Use big data analytics to support business decisions, helping organisations optimise their operations and strategies.
- Salary: ₹7,00,000 to ₹14,00,000 per annum.
Why TAKSHASHILA?
Industry-Focused Curriculum
The M.Tech in Computer Science and Engineering (Big Data) provides you with up-to-date skills and knowledge in big data technologies, ensuring you are prepared for high-demand roles in the tech industry.
Hands-On Learning
Through real-world projects, internships, and industry exposure, you will gain practical experience in processing and analysing big data.
Expert Faculty
Learn from faculty members who bring both academic knowledge and industry experience in big data technologies.
Global Career Opportunities
Takshashila University’s strong network with global organisations ensures that M.Tech graduates have access to exciting career opportunities.
- Applicants must have completed their B.Tech/B.E. in Computer Science and Engineering, Information Technology, or related disciplines with a minimum of 50% marks.
- Entrance exams or personal interviews may be required as part of the selection process.
Takshashila University offers scholarships based on academic merit and financial need. Visit our scholarships page for more details on available scholarships and the application process.
Student Experience at Takshashila University
At Takshashila University, you will be part of a cutting-edge learning environment where you can develop your big data skills through hands-on practice, research, and industry collaboration.
What you can look forward to
Interactive Learning
Engage in practical sessions, workshops, and industry-linked projects, allowing you to apply theoretical knowledge in real-world scenarios.
Modern Campus Facilities
Experience state-of-the-art labs, research centres, and classrooms equipped with the latest technologies, all designed to enhance your hands-on learning experience.
Networking Opportunities
Connect with a diverse student body and industry professionals through guest lectures, industry events, and seminars. These interactions open doors to future collaborations and career prospects.
Active Student Life
Participate in clubs, hackathons, technical competitions, and industry events that encourage leadership, teamwork, and innovation, providing you with a well-rounded university experience.
Spread over 150 acres
At Takshashila University, you will have ample opportunities to hone your skills in real-world healthcare settings, utilising state-of-the-art medical facilities and simulation labs on our 150-acre campus.
Start your journey in Big Data today!
Similar Courses
If you are interested in similar fields of study, consider exploring the following programmes:
M.Tech in Computer Science and Engineering
M.Tech in Computer Science and Engineering (AI)
M.Tech in Computer Science and Engineering (IoT & Cloud Computing)
For more detailed information about the M.Tech in Computer Science and Engineering (Big Data), including course content, faculty, and admission process, download our brochure.
Frequently Asked Questions (FAQs)
What is the duration of the M.Tech in Computer Science and Engineering (Big Data)?
The course lasts for 2 years, divided into four semesters.
Do I need prior experience in big data to apply?
No, the programme is designed for students with a background in computer science or related disciplines, and no prior big data experience is required.
What career support is provided after graduation?
Takshashila University offers job placements, internships, and networking opportunities to help you secure a career in big data.
Is the programme recognised internationally?
Yes, the M.Tech programme is designed to meet international standards, preparing you for career opportunities worldwide in big data and data science.
