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What is the seats for MSC in data science in Fergusson college pune
Fergusson College MSc programs are delivered under 15 specializations some of them being Economics, Animation, Analytical Chemistry, Biochemistry, Biotechnology, etc. Generally, candidates must hold a Bachelor's degree with a minimum of 50% marks to get admission in the MSc program.
Here are the key highlights of the MSc program at Fergusson College:
|
Particulars |
MSc Highlights |
|
Duration |
2 years |
|
No. of specializations |
15 |
|
Total tuition fee |
INR 88,130 - INR 1.64 lakh |
|
Seats |
60 |
|
Accepted entrance exam |
MAH MCA CET |
|
Eligibility |
Graduate degree with 50% |
Eligibility
Candidates holding a BSc, BCA Science, BE, or BTech degree with a minimum of 50% marks for the open category and 45% marks for the reserved category are eligible.
Curriculum
Fergusson College M.Sc. The Data Science program helps the students inculcate skills that help them pursue a career in the Data Science/IT industry. A few courses of each semester have been mentioned below
|
Semester 1 |
Semester 2 |
Semester 3 |
Semester 4 |
|
Probability and Linear Algebra |
Statistical Inference Machine Learning |
Optimization Techniques |
Industrial Training / Institutional Project |
|
Statistics Applied |
Mathematical Foundation |
Big Data Engineering |
- |
|
Data Structures |
Mathematical Foundation |
Deep Learning |
- |
|
Database Management System |
Practical based on Machine Learning using R |
Practical based on Deep Learning |
- |
Fergusson College placements help the M.Sc. Data Science students step into the world of the Software/Data Science Industry. Before the placements, the students are trained thoroughly to enhance their skills.
What are the syllabus for msc data science?
MSc Data Science program revolves around major disciplines of Calculus, C-Programming, and Descriptive Statistics. Latest technologies such as Python, ML, DL, and Spark are also taught thoroughly in the program.
The semester-wise syllabus for Data Science is as follows.
| Semester I | Semester II |
| Mathematics for Spatial Science | Spatial Big Data and Storage Analytics |
| Applied Statistics | Data Mining and Algorithms |
| Fundamentals of Data Science | Machine Learning |
| Python Programming | Advanced Python Programming for Spatial Analytics |
| Introduction to Geospatial Technology | Image Analytics |
| Programming for Spatial Sciences | Spatial Data Base Management |
| Business Communication | Flexi-Credit Course |
| Cyber Security | - |
| Integrated Disaster Management | - |
| Semester III | Semester IV |
| Spatial Modeling | Industry Project |
| Summer Project | Research Work |
| Web Analytics | - |
| Artificial Intelligence | - |
| Flexi-Credit Course | - |
| Predictive Analytics and Development | - |
There are electives as well which you need need to choose to complete your credits. Usually, the electives on offer for Data Science are as follows.
| MSc Data Science Electives | |
| Deep Learning | IOT Spatial Analytics |
| System Dynamic Simulation | Spatial User Interface Design and Implementation |
| Genomics | Research Modeling and Implementation |
| Multivariate Analysis | Programming for Data Science |
| Stochastic Process | Hadoop |
| Image and Video Analytics | Internet of Things |
| Exploratory Data Analysis | Identification of Data Collection |
Python Programming, Deep Learning, R Programming, Cloud Programming, Multivariate Analysis are some of the common Data Science subjects.
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