Scope Of M Tech In Data Analytics and Future

The global Data Analytics Market is estimated to grow at a CAGR of 30% to reach USD 140 billion by 2024, according to a Markets report. One thing is certain – data analytics will only gain momentum for the foreseeable future and will be at the core of countless new technology solutions. Reliance on Business Intelligence (BI) and Analytics now outweigh strategy as the key requirement in business planning. There’s no doubt data analytics and BI tools are evolving at a rapid pace. According to one  report focused on the healthcare industry, “data analytics and information services will have the fastest growth rate at 16% to 18% over the next five years, while core administrative services are unlikely to see much growth due to automation

M. Tech In Data Analytics is a degree program that prepares students with strong Science & Technology, Engineering, and Mathematics (STEM) or business backgrounds to step into specialist roles in analytics, data science, and business intelligence. The duration of M. Tech in Data Analytics is for 2-years. Though, there are many M. Tech colleges in Noida offering Data Analytics programs. M. Tech in Data Analytics requires highly trained and specialized faculties as the course deals with a deep conceptual understanding of Mathematics and Engineering. This course also requires high-performance computing facilities so as to get a practical grasp over the technology. Among many good universities in Noida, JIIT is the best university in Noida to run this program. JIIT has a bunch of specialist faculties in Data Analytics. JIIT also has the best laboratories with high-performance supercomputers specifically dedicated to Data Analytics research.

The programme covers fundamentals to advanced skill & knowledge areas, and is a four-semester programme that helps software & IT professionals build the skill set required to advance their careers as a Data Analysts, Data engineers and Data scientists, etc. The programme offers a set of core courses and elective courses, allowing students to specialize in Data Analytics for Machine Learning, Optimization Techniques for Analytics, Natural Language Processing, etc. The programme makes use of Tools and Technologies. These include Apache Spark, Apache Storm for Big Data Systems/ Real-time Processing; Tableau for data visualisation; Tensor flow for Deep Learning; Various Packages within Python for data processing, machine learning, data visualization etc. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learned during the programme. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work-integrated activities.