The undergraduate programme BSc (Data Science) is a novel three-year dual major, interdisciplinary degree programme. The students are given the option to pursue fourth year for the award of Honors degree. It has been specifically designed for the current Information and Knowledge Creation Era. This Programme will equip the students to learn about querying, acquiring and understanding the categories of data and its analysis, methods to extract insights from data and to visualize and report the results. It also helps students to make formal and informal inferences based on data and to understand classical and modern data analytics techniques, artificial intelligence techniques and machine-learning concepts
The BSc Data Science Honours with Research is a four-year programme that aims to foster learning development using a range of tools and big data platforms, allowing students to specialize in Data Engineering, Analytics, Big Data Visualisation, Statistical Modelling and Machine Learning. The graduates will develop an in-depth understanding of data science and the techniques for qualitative and quantitative data analyses to arrive at viable solutions. They will be able to identify patterns, predict trends, and analyze data from various sectors such as manufacturing, banking and finance, retail and healthcare. The academic track of the program is a blend of core and advanced specialized subjects. During the initial year of this programme, the student will be trained in Data Visualisation Techniques. This will be followed by intensive training in managing databases & networking and communication in the second year. By the end of the third year, the student will be equipped with the requisite knowledge and skills to develop web applications and models for different domains. In addition to this, they will develop research writing skills and the student would have published one research paper in a Scopus Indexed/Web of Science journal. On completion of the fourth year, the student will graduate with an Honours degree. The programme will prepare the student for further studies as well as for professional and managerial careers.
Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.
Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the admission committee is final.
Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the following options to apply for any programme at Christ University.
Online Application form
Email ID for any clarifications: admission.lavasa@christuniversity.in
Students who fall under any of the following classifications, at the time of application may apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the course.
Note: If only condition 5 is satisfied, and not conditions 1 to 4 above,NRI student category fee will be applicable only for the first year.
For email queries: admission.lavasa@christuniversity.in
CHRIST (Deemed to be University), Christ University Road, 30 Valor Court, PO Dasve Lavasa, Mulshi, Pune – 412112, Maharashtra
Phone
1800-123-2009
Email
admission.lavasa@christuniversity.in
Between: Monday to Friday: 09:00 AM to 04:00 PM,
Saturday: 09:00 AM to 12:00 PM
(Office remains closed on Sundays, Government Holidays and Any special events)
All applicants using online mode must visit the online application page. Register by entering your NAME (as printed on Class 10 Marks Card) EMAIL-ID and set password. (The email id and mobile number provided will be used for sending confirmation and application status-update messages).
Applications can be filled online prior to the declaration of class XII results and saved. Class XII marks can be entered only after verification of self-attested internet printout of the XII results.
Candidates, who are unable to print the application form due to system / power / internet failure, may log on to the “Application Status” link and enter your email id, password and captcha details to view and print the application form.
After processing the Application Forms, the cut off percentage will be declared and displayed on the University notice board / University website. No postal / telephonic / e-mail communication will be given from the University. The University does not authorize any individual or organization to operate on its behalf.
Candidates will be intimated about the selection status through application status page on the University website www.lavasa.christuniversity.in. The merit cut off will be declared on the 4th day after the declaration of class 12 results (Maharashtra HSC/CBSE/ISC). Other Boards whose results may be declared after the above mentioned Boards will be considered subject to availability of seats.
Note: Candidates must note that if selected, admission is provisional and subject to University rules.
Details on how to process admission will be available on Offer of Admission through ‘Application Status’ link on the University website.
An undertaking for pending original documents unavailable currently [applicable only for candidates writing/passing their exam in March – June – 2024], must be submitted to the Office of Admissions. These documents must be submitted on or before 31 August 2024.
All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process and must carry relevant ID proof (Aadhar Card and Pan Card).
The University ID card is a smart card, which is both an ID cum ATM card with a chip containing the student personal details. All transactions within the University campus after commencement of classes, including fee payment will be processed only through this card. It is also an access card for Library and other restricted places.
Selected candidates who fall under International student category (ISC) should register with the Foreigner Regional Registration Officer (FRRO / FRO) of the Local Police in Pune, India within 14 working days from the date of admission or arriving in Pune.
Basic eligibility for the programme is a pass at the +2 level (Maharashtra HSC / ISC / CBSE / NIOS / State Boards) from any recognised Board in India.
Year | Indian States | NRI | Saarc / Africa / OCI / PIO / ASEAN | Other Foreign Nationals |
|---|---|---|---|---|
1 | 1,75,000 INR | 2,60,000 INR | 4,000 USD | 4,500 USD |
2 | 1,75,000 INR | 2,60,000 INR | 4,000 USD | 4,500 USD |
3 | 1,75,000 INR | 2,60,000 INR | 4,000 USD | 4,500 USD |
| 4 | 2,20,000 INR | 3,25,000 INR | 5,000 USD | 6,000 USD |
Time of Payment: All the candidates have to pay the I Year fee immediately after confirmation of the admission. II, III, IV Year fee must be remitted before 31 March of every year (end of financial year)
It is to be noted that though the fee is fixed for five years, there may be a periodic nominal increase to meet the rise in costs.
(The above condition is not applicable to NRI and candidates applied under NRI Category).
Students are provided specialized counselling, remedial classes and continual guidance by their teachers, focusing on their personal and academic development. Each student is assigned a mentor and regular meetings between mentor and mentee are held to keep track of the student’s progress and assess their academic and personal needs. During these sessions, students are also encouraged to resolve queries and share challenges faced. An essential component of the programme, mentoring goes beyond classroom dynamics, helping students grow into responsible citizens.
Selection for the programme will be based on the performance in class XII. After processing the Application forms of candidates whose supporting documents are submitted to the office within 3 days of the declaration of the class XII result (Maharashtra HSC/ISC/CBSE), the cut-off percentage will be declared and displayed on the University notice board/University website. No postal/telephonic/e-mail communication will be given from the University. Other Boards whose results may be declared after the above-mentioned Boards will be considered subject to the availability of seats. The University does not authorize any individual or organization to operate on its behalf.
The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.
Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.
The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.
The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.
The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.
Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.
Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.
Guest lecture on Data Visualization Techniques
Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.
The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.
Guest Lecture On ‘Multivariate Techniques in Data Science’
A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.
The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.
Machine Learning
Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.
Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain “ADAS”. He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.
IEEE and Research Methodology
A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.
The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).
Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
Perform data analysis using the concepts and interpret them to design them.
Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
Develop the students with exposure to various skill sets to meet the industry's requirements.
The BSc Data Science Honours with research Programme is spread over eight semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.
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Christ University Road, 30 Valor Court
At Post: Dasve Lavasa, Taluka: Mulshi
Pune 412112, Maharashtra.
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