Compare three-year diploma, four-year undergraduate, two-year postgraduate, certificate and doctoral timelines.
Big Data Analytics Course Duration
Course duration depends on the qualification.
| Programme | Typical duration |
|---|---|
| Short certificate | A few weeks to six months |
| Advanced certificate | Six months to one year |
| Diploma | Approximately six months to two years |
| BCA | Usually three years, although some structures may differ |
| BSc | Usually three or four years under the applicable academic framework |
| BTech | Four years |
| Lateral-entry BTech | Usually three years |
| MSc | Usually two years |
| ME/MTech | Two years |
| MBA/PGDM | One to two years |
| PG diploma | Approximately six months to one year |
| PhD | Commonly three to six years or more |
BTech structure
A four-year CSE Big Data Analytics programme generally includes eight semesters.
First year: Mathematics, Physics, programming, basic engineering and communication.
Second year: Data structures, algorithms, databases, operating systems, computer networks and probability.
Third year: Distributed systems, Hadoop or equivalent concepts, Spark, cloud computing, machine learning and data visualisation.
Fourth year: Streaming analytics, advanced electives, internship and major project.
MTech structure
An MTech usually includes:
- Advanced distributed computing
- Scalable data systems
- Machine learning
- Cloud data platforms
- Research methodology
- Electives
- Seminar
- Dissertation
MSc structure
An MSc may provide stronger emphasis on:
- Statistics
- Probability
- Mathematics
- Data analysis
- Machine learning
- Programming
- Research projects
PG diploma structure
A technical PG diploma may be intensive and application-oriented. It can include programming, Linux, databases, cloud platforms, big data technologies, visualisation, machine learning and a project.
Certificate duration
Short certificates can introduce a tool or platform, but they rarely provide the same depth as a degree. A 20-hour or 50-hour course may help students understand fundamentals but does not automatically make them job-ready as data engineers.
Continue your Big Data Analytics research
Course at a Glance
- Course AreaComputing and Emerging Technology
- Study PathwaysB.E./B.Tech specialisations, B.Sc./BCA pathways, M.E./M.Tech, M.Sc., certificates and doctoral study
- Primary FocusDistributed computing, data engineering, databases, data lakes, batch and stream processing, analytics, visualisation, governance and cloud platforms.