PhD in Computational Sciences and Informatics (Doctor of Philosophy in Computational Sciences and Informatics )

PhD in Computational Sciences and Informatics Computational Learning About

PhD in Computational Sciences and Informatics Computational Learning is a 3 year course for doctorate level students. It focuses on lending expertise of technical to the students in subjects. The eligibility criterion for the course PhD in Computational Sciences and Informatics Computational Learning is Master’s degree with 55% marks from a recognized institute.

The admission for the course PhD in Computational Sciences and Informatics Computational Learning is either merit based selection or entrance exam. The entrance exams taken by colleges and universities are GATE, NET, CUCET, etc.

PhD in Computational Sciences and Informatics Computational Learnings is a course designed to integrate and apply the principles of mathematics, science, engineering, and computing to create computational models that are ready to tackle the problems of the real world.

The average fee for the course PhD in Computational Sciences and Informatics Computational Learning is INR 75,000 to INR 1.50 lakhs. It mainly differs on the course provided by the colleges and universities.

The job profiles after the course PhD in Computational Sciences and Informatics Computational Learning are Database administrator, software developer, computer network architect, security architect, faculty, research scientist, data modeler, computer hardware engineer, computer systems administrator, computer scientist, Radiology Software engineer, professor, data scientist, etc.

PhD in Computational Sciences and Informatics Computational Learning Highlights

PhD in Computational Sciences and Informatics Computational Learning Entrance Exam

CSIR UGC NET

UGC NET

ICAR AICE JRF/SRF

IIT JAM

VITMEE

NIPER

PhD in Computational Sciences and Informatics Computational Learning Admission Process

Merit-based selection

• The registration form will be released by colleges or universities for their own entrance exam.
• Students have to fill the form online with the registration fees through the websites of respective colleges and universities before the last date.
• The college or universities release the cutoff list date. On the day, the cutoff list will be released by them.
• Students have to visit the college and university for the documentation process according to the cutoff list.
• Documents required are 10th Mark sheet, 12th Mark sheet, Passport size photo, Bachelor’s degree, Master’s Degree.

Entrance exam

• The registration form will be released by colleges or universities for their entrance exam.
• Students have to fill out the form online with the registration fees through the websites of respective colleges and universities before the last date.
• The admit card will be released by the colleges and universities.
• The exam date will be released by the respective colleges and universities.
• The result will be declared after that.
• The counseling session will be provided to all the students.
• Documentation dates will be given by colleges and universities. Students have to submit their correct documents to the college with tuition fees.
• Documents required are 10th Mark sheet, 12th Mark sheet, Passport size photo, Bachelor’s degree, and Master’s Degree.

PhD in Computational Sciences and Informatics Computational Learning Duration

PhD in Computational Sciences and Informatics Computational Learning Eligibility Criteria

1. The eligibility criterion for the course is students have to clear a Master's degree or equivalent with minimum 50% marks from a recognized college or institute.
2. 5% moderation for the reserved category students.
3. No receptacle will be accepted. Students must have to clear a Master's degree.
4. Some colleges and universities have different criteria for the course.

PhD in Computational Sciences and Informatics Computational Learning Selection Criteria

Admission to a PhD in Computational Sciences and Informatics with a specialization in Computational Statistics is highly competitive.

The selection criteria may vary depending on the institution, but generally, the selection process involves an evaluation of the candidate's academic record, research experience, statement of purpose, letters of recommendation, and performance in the entrance exam.

How to Apply for PhD in Computational Sciences and Informatics Computational Learning 

To apply for a PhD in Computational Sciences and Informatics with a specialization in Computational Statistics, candidates should first research and identify universities and institutions offering the program. Candidates can then check the admission requirements and application deadlines of each institution. The application process usually involves submitting an online application form, official transcripts of academic records, letters of recommendation, a statement of purpose, and the results of the entrance exam. Some institutions may also require an interview as part of the selection process.

PhD in Computational Sciences and Informatics Computational Learning Application Form

The application form for a PhD in Computational Sciences and Informatics with a specialization in Computational Statistics can typically be found on the website of the institution offering the program. Candidates are usually required to fill in their personal and academic information, upload supporting documents, and pay the application fee.

PhD in Computational Sciences and Informatics Computational Learning Application Process

The application process for a PhD in Computational Sciences and Informatics with a specialization in Computational Statistics may vary depending on the institution. Generally, the process involves submitting an online application form, official transcripts of academic records, letters of recommendation, a statement of purpose, and the results of the entrance exam. Some institutions may also require an interview as part of the selection process.

PhD in Computational Sciences and Informatics Computational Learning Fee Structure

PhD in Computational Sciences and Informatics Computational Learning Syllabus

1. Statistical writing
2. Internet of things (IOT)
3. Research methodology
4. Data science and analytics
5. Digital image processing

PhD in Computational Sciences and Informatics Computational Learning Job Scope

Data Scientist: Utilizing advanced statistical methods and computational techniques to analyze large datasets, derive insights, and inform decision-making processes in various industries such as healthcare, finance, marketing, and technology.

Quantitative Analyst (Quant): Applying computational statistics and mathematical modeling to develop algorithms and quantitative strategies for trading, risk management, and investment decision-making in financial institutions and hedge funds.

Research Scientist: Conducting research in academia, government agencies, or private research institutions to advance the field of computational statistics, develop new statistical methodologies, and apply them to solve complex scientific and societal problems.

Machine Learning Engineer: Designing and implementing machine learning algorithms and predictive models to solve problems related to pattern recognition, natural language processing, computer vision, and recommendation systems in industries like e-commerce, healthcare, and autonomous vehicles.

Statistical Consultant: Providing expertise in computational statistics to businesses, organizations, and government agencies by advising on experimental design, data analysis, and interpretation of results to support evidence-based decision-making.

Biostatistician: Collaborating with researchers and healthcare professionals to design clinical trials, analyze biomedical data, and interpret findings to improve healthcare outcomes and advance medical research.

Risk Analyst: Employing computational statistics techniques to assess and mitigate risks in various domains such as insurance, banking, and cybersecurity by analyzing historical data, identifying potential threats, and developing risk management strategies.

Data Engineer: Developing and maintaining scalable data infrastructure and pipelines to collect, store, and process large volumes of data efficiently, ensuring data quality and accessibility for analytical purposes.

Research Analyst: Working in research organizations, think tanks, or consulting firms to conduct data-driven research projects, perform statistical analysis, and generate insights to address social, economic, and environmental challenges.

Academic Professor: Teaching courses in computational statistics, data science, and related disciplines at universities and colleges, conducting research, mentoring students, and contributing to the academic community through publications and collaborations.

Health Informatics Specialist: Applying computational statistics methods to healthcare data, including electronic health records, medical imaging, and genomic data, to support clinical decision-making, personalized medicine, and healthcare policy development.

Environmental Scientist: Using computational statistics to analyze environmental data, model ecological systems, assess environmental risks, and inform environmental management and conservation efforts.

PhD in Computational Sciences and Informatics Computational Learning Career opportunities

• Data Scientist
• Quantitative Analyst (Quant)
• Research Scientist
• Machine Learning Engineer
• Statistical Consultant
• Biostatistician
• Risk Analyst
• Data Engineer
• Research Analyst
• Academic Professor
• Health Informatics Specialist
• Environmental Scientist

PhD in Computational Sciences and Informatics Computational Learning Top colleges

PhD in Computational Sciences and Informatics Computational Learning Admission Process

1. Application for the entrance exam 
2. Result declaration
3. Entrance pass scholar calling for the interview and document verification
4. Provisional registration for pre-Ph.D. course work classes
5. Coursework classes shall be attended as scheduled by the University
6. Course work examination
7. Result declaration of coursework
8. Submission of synopsis ( 2 spiral bound copies with soft copy of synopsis)
9. Departmental research committee meeting scheduled by University
10. A registration letter shall be issued
11. Research work started by scholar
12. 6 progress reports shall be submitted
13. Soft copy thesis submit
14. plagiarism report check by the university
15. Final after the plagiarism report soft copy thesis shall be sent to experts for evaluation
16. After the consent of experts pre-submission, one set spiral binding shall be submitted
17. After the successful presentation of the pre-submission thesis 3 copies of hard bound thesis shall be  submitted
18. Viva shall be conducted as scheduled by the University, Degree Awarded.

Document Required for PhD in Computational Sciences and Informatics Computational Learning 

• Documents (10th onwards)
• Aadhar Card/Pan Card, Caste Certificate
• Migration Certificate (Original)
• NOC (From Organization/ Institute/ University)
• Affidavit (undertaking)
• Guide Willing
• Assignments
• Synopsis (3 copies), Progress Report
• Library No Dues
• Lab Letter
• Thesis Hard copy (Spiral binding)
• No Dues, Thesis (6 hard copies)
• Affidavit -Submission (on Rs 100 Stamp and Notary Attested)
• C.D Soft copies (Thesis & Synopsis)
• Conference Certificate - 2
• Research Papers -2 (with ISSN No.)
• summary (page limit 20-30) -3 Copies 
• Plagiarism Report Below 10%

FAQs About PhD in Computational Sciences and Informatics Computational Learning 

Q.1 - What is the procedure for Ph.D. Admission to the University?

ANSWER: - The Ph.D. and M.Phil. programs of prestigious Universities are conducted and guided strictly as per the provisions and regulations dictated by the UGC (Minimum Standards and Procedure for Award of Ph.D./M.Phil. Degrees) (1st Amendment) Regulations, 2018 and subsequent amendments. The entire procedure for admission to the research programs encompasses a Research Entrance Exam (RET) and then an Interview/Viva Voce. The performance of a candidate in the RET is given 70% weightage, and the remaining 30% weightage is given to his/her performance at the Interview.

Q.2 - What are the modes of pursuing M.Phil. & Ph.D. programs at the University?

ANSWER: -Both the full-time and part-time modes are available at University for pursuing its Ph.D. programs and only the full-time mode is available for M.Phil. program in the desired subjects/fields. These highly-qualitative and prolific research programs are available in a rather broad range of fields/subjects. At University, the minimum time duration of the M.Phil. and Ph.D. programs is 1.5 Years and 3 Years, respectively, in general.

Q.3 - Are the Ph.D. and M.Phil. Degrees granted by any University valid abroad?

ANSWER: -Yes, of course. If the University is properly recognized under section 2(f) of the UGC Act of 1956 and is a prestigious member of the AIU (the Association of Indian Universities). It is an M.Phil. and Ph.D. degrees granted in various fields/subjects are duly valid across India and the world.

Q.4 - What are the main eligibility criteria for participating in the University Research Entrance Exam (RET)?

ANSWER: -The following are the main eligibility conditions for participating in the RET: - A rigorous Master’s Degree in the proposed subject/field obtained from any recognized university/institution located in India or abroad, with a minimum 55% marks in aggregate or an equivalent grade. Candidates belonging to SC/ST/OBC/Differently-abled categories are given a 5% relaxation in respect of this eligibility criterion. Candidates with an M.Phil. degree in the proposed field/subject, or have qualified for the UGC (JRF) Examinations/ NET/ SET/ SELT, etc., will be allowed to appear directly for the interview, without appearing in the RET. Impressive academic records, and any prior experience in research work, will be given additional advantages.

Q.5 - What relaxations are granted to the reserved categories for Ph.D. Admission to the University?

ANSWER: - Candidates belonging to the categories of SC/ST/OBC (Non-Creamy layer)/Differently-Abled, and so on, are given all relaxations prescribed by the Govt. of India and the UGC. These relaxations are provided in form of 5% reduced marks for them at post-graduation, and also in the minimum qualifying marks at RET. Thus, candidates belonging to these categories only need to score a minimum of 45% marks at RET, to qualify for the final interview.

Q.6 - How will be the pattern of RET?

ANSWER: - The syllabus or pattern of RET consists of subject-specific matters, research methodology, and aptitude (covering logical reasoning, numerical ability, analytical reasoning, statistics, etc.).Thus, RET will contain a total of 70 multiple-choice questions (MCQs).

Q.7 - Are M.Phil. Holders/UGC- NET (including JRF)/ UGC-CSIR NET (including JRF)/ SLET/ GATE exempted from appearing at RET?

ANSWER: - Yes. The holders of M.Phil. degrees in their respective fields/subjects are made exempt from appearing in RET. The same is the situation in cases of aspiring candidates who have qualified exams like UGC-NET (including JRF)/ UGC-CSIR NET (including JRF)/ SLET/ GATE, etc.

Q.8 - How is the application fee paid?

ANSWER: - The Application Fee (i.e. the fee for getting participated in RET) can be paid online or offline, like the Application Form. Payment Modes: DD (in Favor of the University) / NEFT/ Cash Deposit.

Q.9 - Do working candidates require to obtain NOC from employers for pursuing research at any University?

ANSWER: - Yes, necessarily. Working Professionals who are interested in research at any University are required to obtain the NOC (No Objection Certificate) from their respective employers, in order to avert any intrusion ever during the entire doctoral course.

Q.10 - Does an M.Phil. holder require to undergo Ph.D. coursework?

ANSWER: - Yes. M.Phil. holders are again required to undergo the coursework in Ph.D. at some Universities. However, their prior knowledge in the field/subject will be very supportive to them for learning and performing efficiently during the Ph.D. program.

Q.11 - Can I pay the yearly program/course fee in installments?

ANSWER: - Yes, you can pay the yearly course fee as many as in two installments, but well within the yearly session.

Q.12 - Does Any University provide any scholarship or stipend to pursuing scholars?

ANSWER: - Yes, of course. Many Universities offer scholarships as well as stipends to meritorious and talented candidates who undertake research studies at the University. Scholarships are granted to those candidates who come under the top 21 by scoring higher marks in RET and interviews. And, stipends are provided to those scholars who also give lectures to UG or PG students at the University, in addition to doing their Ph.D. coursework. The amount of the monthly stipend will be commensurate with the candidate’s qualifications and capabilities and may go up to Rs. 20,000.

Q.13 - What other many facilities are provided to research scholars at the University Campus?

ANSWER: - All necessary and constructive resources, amenities, and facilities are offered by well-established and prestigious universities to research scholars in various streams/subjects. These facilities include the following - spacious and peaceful study rooms, erudite and well-experienced academicians and research experts, Wi-Fi and diverse IT devices, state-of-the-art laboratories, well-stocked libraries, lavish R&D amenities, separate amenities for lodging and foods for male and female candidates, peaceful and constructive environment within the university campus, and many other comforting and convenient facilities and services.