B.Sc. Data Science

Course Details

B.Sc. Data Science is designed to provide an in-depth knowledge of big data techniques, and their applications for effective decision making in improving business processes.

B.Sc. Data Science is a three years graduate interdisciplinary course spread over six semesters. The programme curriculum has been designed with feedback from industry and academia. The main attraction of the programme is live projects during 3rd year in which students will explore their knowledge while working on real-world business problems.

B.Sc. Data Science

03 Years full time

2019-20 Entry

40 Seats

12th or 10+2 -science with 50% aggregate in PCM/PCScM*

45,000

Tuition fee per semester**

SemesterLectures per WeekProgram  CreditsMarks
1st Semester2624700
2nd Semester2624700
3rd Semester2826750
4th Semester2826750
5th Semester2824700
6th Semester3224750
TotalLectures per Week= 168Program Credits – 1484350

 

AEC- Ability Enhancement Compulsory, CC   Core Course, CCP –Core Course Practical, GE– Generic Elective, GEP– Generic Elective Practical, SEC– Skill Enhancement Course, SECP– Skill Enhancement Course Practical, DSE – Discipline Specific Elective, DSEP – Discipline Specific Elective Practical

Semester-I

Subject CodeSubjects NameSubject TypeContact Hours per WeekCreditsExamination Scheme
 LPTotalLPTotalInternal AssessmentTheoryPracTotal

Marks

BDS101Programming Fundamental & Data structure  using CCC-144442080100
BDS102Computer FundamentalsCC-244442080100
BDS103Environmental ScienceAEC-12222203050
BDS104Discrete Mathematical StructureGE-144442080100
BDS105Descriptive StatisticsSEC-144442080100
BDS106Programming Fundamentals & Data Structure using C -LABCCP-12X2422100100
BDS107Computer Fundamentals-LABCCP-22X2422100100
BDS108Self-Study Paper12525
BDS109Seminar12525
Total1882618424150350200700
Total Contact Hours per Week=26Total Credits=24Total Marks= 700

Semester-II

Subject CodeSubjects NameSubject TypeContact Hours per WeekCreditsExamination Scheme
 LPTotalLPTotalInternal AssessmentTheoryPracTotal

Marks

BDS201Object Oriented Programming with JAVACC-344442080100
BDS202Introduction to Data ScienceCC-444442080100
BDS203English CommunicationsAEC-22222203050
BDS204Applied Probability and StatisticGE-244442080100
BDS205Database Management System (DBMS)SEC-244442080100
BDS206Object Oriented Programming with JAVA- LABCCP-32X2422100100
BDS207DBMS (SQL) LABSECP-12X2422100100
BDS208Self-Study Paper12525
BDS209Seminar12525
Total1882618424150350200700
Total Contact Hours per Week=26Total Credits=24Total Marks= 700

Semester-III

Subject CodeSubjects NameSubject TypeContact Hours per WeekCreditsExamination Scheme
 LPTotalLPTotalInternal AssessmentTheoryPracTotal

Marks

BDS301Optimization TechniquesCC-544442080100
BDS302Programming in PythonCC-644442080100
BDS303Applied Linear AlgebraDSE-144442080100
BDS304Operating SystemsGE-344442080100
BDS305Introduction to Data warehouse and Data MiningSEC-344442080100
BDS306Optimization Techniques (Python)- LABCCP-42X2422100100
BDS307Applied Linear Algebra (Python)   -LABDSEP-12X2422100100
BDS308Self-Study Paper12525
BDS309Seminar12525
Total2082820426150400200750
Total Contact Hours per Week=28Total Credits=26Total Marks= 750

Semester-IV

Subject CodeSubjects NameSubject TypeContact Hours per WeekCreditsExamination Scheme
 LPTotalLPTotalInternal AssessmentTheoryPracTotal

Marks

BDS401Introduction to Data AnalyticCC-744442080100
BDS402Introduction to Artificial IntelligenceCC-844442080100
BDS403Internet Of Things (IoT)SEC-344442080100
BDS404Software EngineeringGE-444442080100
BDS405Statistical AnalysisDSE-244442080100
BDS406Introduction to Artificial Intelligence (PROLOG / Python) -LABCCP-52X2422100100
BDS407Statistical Analysis and IoT (Python)- LABSECP-22X2422100100
BDS408Self-Study Paper12525
BDS409Seminar12525
Total2082820426150400200750
Total Contact Hours per Week=28Total Credits=26Total Marks= 750

Semester-V

Subject CodeSubjects NameSubject TypeContact Hours per WeekCreditsExamination Scheme
 LPTotalLPTotalInternal AssessmentTheoryPracTotal

Marks

BDS501Machine Learning -ICC-944442080100
BDS502Computer VisionCC-1044442080100
BDS503IoT Programming and Big DataSEC-444442080100
BDS504Machine Learning -I   LabGE-54444100100
BDS505IoT Programming and Big Data  LABSECP-42X2422100100
BDS506Project Work –Minor (IoT/ Machine Learning)CCP-62X4844150150
BDS507Self-Study Paper12525
BDS508Seminar12525
Total16122816624110240350700
Total Contact Hours per Week=28Total Credits=24Total Marks= 700

Semester-VI

Subject CodeSubjects NameSubject TypeContact Hours per WeekCreditsExamination Scheme
 LPTotalLPTotalInternal AssessmentTheoryPracTotal

Marks

BDS601Machine Learning -II (Deep Learning)CC-1144442080100
BDS602Introduction to Natural Language Processing and Text MiningCC-1244442080100
BDS603Cloud ComputingDSE-344442080100
BDS604Machine Learning -II – LABCCP-72X2422100100
BDS605Text Mining Lab-I- LABCCP-82X2422100100
BDS606Project Work – MajorSECP-42X61266200200
BDS607Self-Study Paper12525
BDS608Seminar12525
Total121832121024110240400750
Total Contact Hours per Week=32Total Credits=24Total Marks= 750