BACHELOR IN BIG DATA
In simple terms, Big Data represents the Information assets characterized by such a high volume, velocity, and variety to require specific technology and analytical methods for its transformation into value. Big Data consists of aspects such as
- Machine Learning and AI
- Digital Footprint
- Statistics
- Business Intelligence
Big Data techniques can be used to process a large set of data, data which is otherwise largely useless (unless it is interpreted and processes properly). The interpreted data can then be used for various purposes such as – strategic planning, R&D, education, governance, etc. Its applications are many. It covers (but is not limited to) the following domains –
- Education
- Business
- Marketing and Sales
- Military and Governance
- Research and Development
- Healthcare
- Manufacturing
- Media
- Internet of Things
- Media
- IT and CS
Educational Objective
More and more organizations these days use a Decision Support System (DSS) and build data-intensive products and services which require expertise in data analytics. Marwadi University is the first in the region to offer UG specialization in the Big Data Analytics domain. Big Data Analytics is a very recent trend in the field of Computer Engineering. By looking at the tremendous demand in this field, Marwadi University has taken a giant step by starting specialization in Big Data Analytics. Students having dominant skills in this domain are also in demand in all giant IT companies.
So, the main objectives of B. Tech with Big Data Analytics specialization is
- Develop an in-depth understanding of the key technologies in data science and business analytics
- Apply principles of Data Science to the analysis of business problems.
- Use data analysis software to solve real-world problems.
- Frame and use appropriate models of Big Data analysis to solve real-life problems related to society.
To fulfill these objectives MARWADI UNIVERSITY – the Best Computer Engineering College in Rajkot has well-equipped labs with state-of-the-art infrastructure, digital workstations with the latest configurations, and required software. Structures lab, C Programming lab, internet Lab, Computer Networking Lab, Project Lab are some of the key places that impart practical knowledge and technical skill in the hands of the students. The Computer Engineering department is having a highly qualified and experienced pool of faculties who are ready to support students in their development in all dimensions.
STUDENT OUTCOMES
Marwadi University – Best Engineering College in Rajkot is equipped with the latest machines and software with the aim of achieving the following student outcomes
- Students will be able to realize the insight and challenge of Big Data and why current technology is insufficient to analyze Big Data.
- Students will be able to apply non-relational databases, the techniques for storing and processing huge volumes of structured and unstructured data.
- Students will be able to understand the advantages that Big Data can offer to businesses and organizations
- Students will be able to use current practices, skills, tools, and technologies required for computing practice.
- Students will be able to recognize the challenges in Big Data with respect to the IT Industry and do quality research in this field.
SCOPE OF EMPLOYMENT
“Data is useless without the skill to analyze it.” There is a gigantic amount of data moving around. What we do with it is all that matters right now. Therefore, Big Data Analytics is at the frontiers of IT. Big Data Analytics has become significant as it aids in refining business, decision makings and providing the biggest benefit over the competitors. So, it is a growing demand for Data Analytics Professionals.
After completing this course, a candidate will become adept at activities such as
- Big Data Development
- Operating Big Data Tools
- Database
- Data Analytics
AFTER COMPLETING THIS COURSE YOU MAY FIND WORK AT PLACES SUCH AS
- IT firms
- Data Analytics firms
- Marketing and Sales firms
- R&D firms
- Sports firms and more…
Computer Labs
- Oracle Lab
- CISCO Lab
- IBM Lab
- Research & Development Lab
- Basic Computing Lab
- Advance
- Computing Lab
- Networking Lab
- Data Processing Lab
- Object-Oriented Programming Lab
- High-Performance Computing Lab
- Software Engineering Lab
- Project Lab
Department of Computer Engineering (Big Data & Analytics)
We all perceive that business analytics careers are booming across the fields of IT, financial services, healthcare, and biotech. As we step into the age where ‘INTERNET OF THINGS – IoT’ will continue to grow rapidly in the coming years and analytics tools and techniques for dealing with the massive amounts of structured and unstructured data generated by IoT will continue to gain importance
Analytics will play an important role in data security. Analytics are already transforming intrusion detection, differential privacy, digital watermarking, and malware countermeasures. Companies will voice their need to routinely monetizing their own data for financial gain
We will be witnessing a growth of Cognitive Analytics and the relevance of ‘Open Source Solutions’ will regain momentum.
All these will naturally boost demand for Data Scientists- a hunt for people who can balance quantitative analysis skills with an ability to tell the story of their data in
compelling, visual ways. It would not be wrong to say that the demand in the Business Analytics market would grow at an impressive pace in the upcoming years.
You’ll work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and generate actionable insights. As part of our continual focus on the real-world application of classroom learning, corporate partners visit the University for seminars giving you a hands-on experience.
Your success matters. We connect you to a broad range of resources, such as the Learning and Development Center which gives you a professional edge, offering you value-added workshops to bolster your experiential education and a Placement team supporting you in providing the right leads.
Enjoy the challenge to identify the right mix of technologies and then put the pieces together.