Welcome to the IFHE

Programs

ICFAI Tech School (ITS) offers the following Campus based full-time Programs.

The B.Tech. Program

The world of technology is rapidly evolving. In the last 20 years, scientific and technological advancements have fundamentally altered the living and lifestyle. Everything from electronics to information sciences to nanotechnology have caused drastic changes in the technological and engineering environment around the globe.

The world needs leaders who understand science and technology to keep up the pace of innovation. ICFAI Group is focused on creating the leaders of tomorrow in the field of science and technology.


The following branches of engineering are offered
  • Civil Engineering
  • Computer Science and Engineering
  • Electrical and Electronics Engineering
  • Electronics and Communication Engineering
  • Mechanical Engineering

Eligibility

Pass with 60% and above aggregate marks in Class X and Class XII or its equivalent with Mathematics / Physics / Chemistry (M.P.C.) and English as subjects.

Class XII (or its equivalent) students awaiting examination results may also apply.

YEAR FIRST SEMESTER SECOND SEMESTER
I
  • English for Communication
  • Engineering Mathematics-1
  • Engineering Physics-1
  • Engineering Chemistry
  • Basic Electrical & Electronics
  • Engineering
  • Computer Programming-I
  • Engineering Graphics
  • Engineering Mathematics-2
  • Environmental Sciences
  • Engineering Physics-2
  • Engineering Mechanics
  • Introduction to Manufacturing Technology
  • Computer Programming-II
  • Measurement & Measuring Instruments
YEARTHIRD SEMESTER FOURTH SEMESTER
II
  • Principles and Practices of Management
  • Engineering Maths-III
  • Discipline Course-1
  • Discipline Course-2
  • Discipline Course-3
  • Discipline Course-4
  • Theory of Probability and Statistical Analysis
  • Discipline Course -5
  • Discipline Course -6
  • Discipline Course -7
  • Discipline Course -8
  • Discipline Course -9
YEARFIFTH SEMESTERSIXTH SEMESTER
Summer TermInternship Program I
III
  • Engineering Economics
  • Numerical Methods
  • Discipline Course -10
  • Discipline Course -11
  • Discipline Course -12
  • Discipline Course -13
  • Engineering Economics
  • Numerical Methods
  • Discipline Course -10
  • Discipline Course -11
  • Discipline Course -12
  • Discipline Course -13
Summer TermInternship Program I
YEARSEVENTH SEMESTEREIGHTH SEMESTER
IV
  • Discipline Elective-1
  • Discipline Elective-2
  • Discipline Elective-3
  • Discipline Elective-4
  • Open Elective-1
  • Open Elective-2
  • Internship Program / (Thesis + 2 Elective Courses)
  • Comprehensive Viva Voce

Course Content
Elective Courses

Merit Scholarships:

Based on percentage in 10+2 exam / Ranks secured in JEE (Main) 2017 / State Level Engineering Entrance Tests 2017. Additionally, merit scholarships are also offered in each semester based on semester-wise performance.

Admission Process

Admission is through an All India Admission Test (ITSAT 2017). Alternatively, scores of JEE (Main) 2017 / State Level / Other National Level Engineering Entrance Tests 2017 are also accepted.

Award of Degree

On successful completion of the course of studies, students will be awarded a B.Tech. from ICFAI Foundation for Higher Education, Hyderabad.


M.Tech VLSI Program

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ICFAI Tech School (Faculty of Science & Technology), IFHE Hyderabad offers M.Tech. - VLSI on two year (full-time) and three year (part-time) modes. Advances in VLSI have today enabled most systems to become compact, highly reliable and deliver data at high speed. The requirement of improved solutions for miniaturization, high speed, reliability, and high performance computers, necessitates skilled engineers. There is an urgent need to produce quality engineers who can conceive, design and develop VLSI systems.

The Program aims at preparing students to develop knowledge and skills in VLSI design methodology with systems perspective in order to facilitate the use of computer-aided design tools for the analysis and design of special-purpose digital and analog circuits and systems. The Program will help students understand the requirements of EDA development, library design, analog and mixed signal design, semiconductor chip design, design and verification of ICs, FPGA development and SOC design. Analysis, design and implementation of integrated circuits using standard tools.

The VLSI Program will focus on the development of hands-on skills in designing semiconductor devices and circuits, architecting systems using embedded components such as CPU, memory and peripherals. Students will learn several topics starting from the lowest level of physical devices to the top level of application development involving FPGA and ASICS.

Objectives

  • To develop world class professionals equipped with all aspects of VLSI and Embedded design methodologies.
  • To expose students to the complexities and design methodologies of current and advanced IC designs.
  • To develop engineers trained in both hardware and design tools VLSI.
  • To disseminate VLSI design including both the low level circuit and high level algorithmic details.

Eligibility

Pass with minimum 60% or equivalent in Bachelor’s degree in Electronics & Communication / Electronics & Instrumentation Engineering / Instrumentation Technology / Telecommunication Engineering / Electrical & Electronics / AMIE in appropriate branch mentioned above.

Unique Features

  • The program curriculum is aimed at VLSI System Design (both Front end & Back end designs) covering Algorithms, Hardware description languages, System architectures, Physical designs, Verification techniques, Simulation & synthesis, Low power design techniques and Mixed mode design methodologies.
  • Students will have access to well equipped VLSI Lab set-up with industrial collaboration.
  • The University is having collaboration with Industry giants Mentor Graphics, Xilinx, etc.
  • All students are assigned a designated supervisor, an academic member of staff who will provide formal supervision and support on a daily basis.

Program Structure (Full-time)

The two year program is organized into four semesters. Every student is required to take a minimum of 6 elective courses in the second and third semesters. The elective courses are chosen in consultation with the thesis supervisor to match the interest of student as well as the requirements of the project work. The fourth semester is dedicated to the project work.

Year

Semester I

Semester II

 

I

System Hardware Design CMOS Analog VLSI Design
CMOS Analog Circuits VLSI Technology
Digital VLSI Design Low Power Design
CAD for VLSI Elective I

Physics of Transistors

Elective II
Language Lab
Year Semester IV Semester IV
II Elective III

Project and Viva Voice
Elective IV
Elective V
Elective VI
Pre Project Study & Seminar

The program structure is tentative, subject to change (if required).

Program Structure (Part-time)

The three year program is organized into six semesters. Every student is required to take a minimum of 6 elective courses in the third, fourth and fifth semesters. The elective courses are chosen in consultation with the thesis supervisor to match the interest of student as well as the requirements of the project work. The sixth semester is dedicated to the project work. Classes for part-time students will be held on weekends.

Year

Semester I

Semester II

I

Physics of Transistors System Hardware Design
CMOS Analog Circuits CAD for VLSI
Digital VLSI Design CMOS Analog VLSI Design
Year Semester III Semester IV
II VLSI Technology

Elective II
Low Power Design Elective III
Elective I Elective IV
Year Semester IV Semester VI
II Elective V Project and Viva Voce
Elective VI
Pre Project Study & Seminar (Literature Survey and Project definition)

The program structure is tentative, subject to change (if required).

List of Electives

Digital Signal Processing Embedded Systems Design
Electronic Systems Design Mixed Signal VLSI Design
Sensors Interfacing Nanoelectronics
Microelectronics Chip Design Microelectronics Simulation Laboratory
System Design Processor Design
Introduction to MEMS Advanced Computer Organization.
Testing and Verification of VLSI Circuits Digital Signal Processing

How is VLSI different from Software?

VLSI is about designing microprocessors and integrated circuits (ICs) like Modems, Networking chipsets, Telecom chipsets, Graphics chipsets, Memories for computers, etc. IC’s which have multi-million transistors in them are classified as VLSI chips or VLSI designs. Whereas Software is about developing software applications involving coding, testing and programming.

Career Opportunities

VLSI offers great opportunities in chip design in the areas of ASIC, FPGA design and Custom Layout design. The job opportunities are in front end- RTL design and Coding, Verification, Synthesis, Implementation, Static Time Analysis, and Design for Test. The back end jobs are - Physical design, Custom Layout, Place and Route.

Admission Modalities

The Admission Modalities are with reference to the campus-based PG and Ph.D Programs offered by The ICFAI Foundation for Higher Education (IFHE), Hyderabad.

ADMISSION CALENDAR

Last Date for Submission of completed Application Form June 30, 2017
Eligibility / Admission Test July 10, 2017
Results July 14, 2017
Personal Interviews July 21 & 22, 2017
Reporting and Registration August 07, 2017
Commencement of Program August 08, 2017

Eligibility & Fee for M.Tech (VLSI) Full-time and Part-time

Program Duration Fee Details Rs.
Admission Fee Total Program Fee Caution Deposit
M.Tech (VLSI) Full-time 2 Years 20,000 2,52,000 10,000
M.Tech (VLSI) Part-time 3 Years

* Full-time Ph.D students in Basic Sciences who maintain the prescribed levels of Academic and Research progress recommended by the University will get a full waiver of program fee.

PG Programs:

M.Tech (VLSI), programs is common to all 3 PG Programs:

GATE / ICFAI Master’s Entrance Exam (IMEE 2017) Qualified candidates are eligible.

Candidates who have Qualified in GATE (2015 onwards) need not write the ICFAI Master’s Entrance Exam 2017. They can directly appear for Interview.

IMEE 2017:

ICFAI Master’s Entrance Examination (IMEE 2017) is an aptitude test conducted by ITS, IFHE, for students seeking admission into the PG Programs of ICFAI Tech School. The test is of one hour duration. The question paper consists of 50 multiple choice questions with duration of 60 minutes.

M.Tech (VLSI): There will be three sections. All questions will be MCQs.

Section 1: Verbal reasoning and quantitative reasoning. (Refer to GRE syllabus); Section 2: Basic programming skills in programming languages (C/C++); Section 3: Mathematics/ Probability and Statistics.

Personal Interview

Candidates based on the performance in GATE (from 2015 onwards) / IMEE 2017 will be called for Personal Interview at ICFAI Tech School, IFHE, Hyderabad on July 21 & 22, 2017.

The question paper will be divided into two parts of 100 marks each.

Part-A is common to all subjects. There will be one precise writing followed by MCQs in Basic Chemistry, Mathematics, Physics and Awareness in Computers.

Part-B contains MCQs in the subject studied at the Masters level.

M.Tech - Manufacturing Systems
Engineering Program


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ICFAI Tech School (Faculty of Science & Technology), IFHE Hyderabad off ers M.Tech - Manufacturing Systems Engineering on two year (full-ti me) and three year (partti me) modes. The program provides advanced building blocks for conceptualizing, understanding manufacturing systems integrated with computer based applicati ons. These include core courses: Unifi ed Approach to Manufacturing Systems Engineering, Manufacturing Processes, Engineering Economy, Computer-based Simulati on Methods & Applicati ons, Opti mizati on Methods & their Applicati ons, Quality & Reliability Engineering, Faciliti es Planning & Material Handling. Besides these there are a number of relevant electi ves to choose from. Further, the curriculum includes project work, which helps students understand the concepts and methods and apply to real life situati ons. The program enables the students to be technically competent to take-up challenging jobs in industries, government and R & D organizati ons. The program provides a sound platf orm for undertaking higher studies such as doctoral research in any top ranked university across the globe.

Eligibility

Pass with minimum 60% or equivalent in Bachelor’s degree in Mechanical Engineering / Automobile Engineering / Producti on Engineering / Industrial Engineering / Manufacturing Engineering / Mechatronics.

Benefits

  • Students will develop an understanding of the concepts of manufacturing systems engineering, product and process development with an awareness of strategic management and operati ons.
  • The program helps students acquire manufacturing techniques and processes and its applicati ons in manufacturing organizations.
  • Students completi ng the program may fi nd job opportuniti es as design engineers, manufacturing engineers, producti on engineers, engineering managers, systems engineers, or research and development engineers in companies such as automoti ve, appliances manufacturing and discrete manufacturing intending to adopt advanced manufacturing technologies.

Program Structure (Full-ti me)

The two year program is organized into four semesters. Every student is required to take a minimum of 6 electi ve courses in the second and third semester. The electi ve courses are chosen in consultati on with the thesis supervisor to match the interest of student as well as the requirements of the project work. The fourth semester is dedicated to the project work.

Year

Semester I

Semester II

 

 

I

Unified Approach to Manufacturing Systems Engineering Computer Based Simulation Methods & Applications
Manufacturing Processes Quality Engineering & Management
Engineering Economy Facilities Planning & Material Handling
Applied Statistics and Probability Elective I
Optimization Methods & Their Applications Elective II
Year Semester III Semester IV
II Elective III Project and Viva Voice
Elective IV
Elective V
Elective VI
Pre Project Study & Seminar
(Literature Survey and Project definition)

The program structure is tentati ve, subject to change (if required).

Program Structure (Part-time)

The three year program is organized into six semesters. Every student is required to take a minimum of 6 elective courses in the third, fourth and fifth semesters. The elective courses are chosen in consultation with the thesis supervisor to match the interest of student as well as the requirements of the project work. The sixth semester is dedicated to the project work. Classes for part-time students will be held on weekends.

Year

Semester I

Semester II

I

Unified Approach to Manufacturing Systems Engineering Applied Statistics and Probability
Manufacturing Processes Optimization Methods & their Applications
Engineering Economy Computer Based Simulation Methods & Applications
Year Semester III Semester IV
II Quality Engineering & Management Elective II
Facilities Planning & Material Handling Elective III
Elective I Elective IV
Year Semester V Semester VI
III Elective V Project and Viva Voce
Elective VI
Pre Project Study & Seminar
(Literature Survey and Project definition)

The program structure is tentati ve, subject to change (if required).

List of Electives
Advances in Industrial Systems Engineering Advances in Manufacturing Technology
Flexible Manufacturing Systems Sustainable Manufacturing Systems
Industrial Robotics Product Design & Development
Automation in Manufacturing Technology Management
Manufacturing Strategy Venture Management
Supply Chain Management Micro Electronic Mechanical Systems
Project Management Advances in Optimization Techniques
Advances in Production and Inventory Control Advance Topics in Manufacturing System Engineering
Intelligent Manufacturing Systems Reliability Engineering & Management

Career Opportunities
The program combines theory with the application of professional knowledge, skills and competencies. The student will acquire a broad range of transferable employment skills that are highly sort after by employers. These skills include lean manufacturing, quality tools and techniques applications, advanced manufacturing systems, materials and operation of a range of manufacturing processes. This is supported by the development of CAD and FEA skills and manufacturing control systems.

Final year students will undertake industry based projects which will enhance their employability and lead to final placements.

Students completing the program may be placed as leaders in general engineering management and manufacturing engineering management.

    Job opportunities as:
  • Manager - Manufacturing Engineering/Operations
  • Project Manager - Manufacturing Engineering
  • Lab Manager
  • Manufacturing Test Engineer
  • Systems Software Engineer
  • Engineering Services Manager
  • Faculty in respective discipline

Admission Modalities

The Admission Modalities are with reference to the campus-based PG Programs offered by The ICFAI Foundation for Higher Education (IFHE), Hyderabad.

ADMISSION CALENDAR

Last Date for Submission of completed Application Form June 30, 2017
Eligibility / Admission Test July 10, 2017
Results July 14, 2017
Personal Interviews July 21 & 22, 2017
Reporting and Registration August 07, 2017
Commencement of Program August 08, 2017

Eligibility & Fee for PG Programs in Sciences

Program Duration Fee Details Rs.
Admission Fee Total Program Fee Caution Deposit
M.Tech (Manufacturing Systems Engineering) Full-time 2 Years 20,000 2,52,000 10,000
M.Tech (Manufacturing Systems Engineering) Part-time 3 Years

* Full-time Ph.D students in Basic Sciences who maintain the prescribed levels of Academic and Research progress recommended by the University will get a full waiver of program fee.

PG Programs:

(Manufacturing Systems Engineering), programs is common to all 3 PG Programs:

GATE / ICFAI Master’s Entrance Exam (IMEE 2017) Qualified candidates are eligible.

Candidates who have Qualified in GATE (2015 onwards) need not write the ICFAI Master’s Entrance Exam 2017. They can directly appear for Interview.

IMEE 2017:

ICFAI Master’s Entrance Examination (IMEE 2017) is an aptitude test conducted by ITS, IFHE, for students seeking admission into the PG Programs of ICFAI Tech School. The test is of one hour duration. The question paper consists of 50 multiple choice questions with duration of 60 minutes.

For M.Tech (Manufacturing Systems Engg.): Syllabus as per GATE - Mechanical Engg.

Section 1: Verbal reasoning and quantitative reasoning. (Refer to GRE syllabus); Section 2: Basic programming skills in programming languages (C/C++); Section 3: Mathematics/ Probability and Statistics.

Personal Interview

Candidates based on the performance in GATE (from 2015 onwards) / IMEE 2017 will be called for Personal Interview at ICFAI Tech School, IFHE, Hyderabad on July 21 & 22, 2017.

The question paper will be divided into two parts of 100 marks each.

Part-A is common to all subjects. There will be one precise writing followed by MCQs in Basic Chemistry, Mathematics, Physics and Awareness in Computers.

Part-B contains MCQs in the subject studied at the Masters level.

M.Sc - Data Analytics

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ICFAI Tech School (Faculty of Science & Technology), IFHE Hyderabad offers M.Sc. - Data Analytics on two year (full-time) and three year (part-time) modes, to meet the demand of new age Data Analysts.

There is a growing demand across all industry sectors for graduates who are trained to analyze raw data and extract insights that can help businesses to plan strategically.

Data Analytics is used for many purposes, such as fraud detection, credit risk modeling, forecasting, developing pricing models, monitoring personal health, etc. For the past few years it has become an area of strategic importance nationally and internationally. The need for data analytics is due to the massive accumulation of “Big Data” in all industries to include but not limited to healthcare, finance, government (central, state, and local), and cyber defense.

Objectives

  • To develop professionals as data analysts and data scientists by equipping them with statistical applications and other computational methods and technology to handle big data.
  • To incorporate analytical practices to extend the value of business intelligence and analytics far beyond traditional practices of handling data and unlocking the value residing in firms’ vast stores of data.

Highlights

  • The Program introduces the complete cycle of data analysis in business applications.
  • It deals with the Big Data Analysis which cannot fit in the computer’s memory and application of such analysis to various applications.
  • Electives to specialize different data analytic techniques required for specific industries.
  • The industry-linked internship will provide an opportunity to analyze and provide solutions to today’s real-world data analytic problems.

Eligibility

Pass with minimum 60% or equivalent in B.Tech / B.E., BSc (Maths)/ BSc (Physics) / BSc (Statistics) / BCA.

Program Structure (Full-time)

The two year program is organized into four semesters. Every student is required to take a minimum of 3 elective courses in the third semester. The elective courses are chosen in consultation with the thesis supervisor to match the interest of student as well as the requirements of the project work. The fourth semester is dedicated to the Internship Program..

Internship:

During Internship, students are required to take up online project development with leading IT companies to acquire practical industry experience. To facilitate this the University is in the process of entering into MOU’s with various software companies.

Year

Semester I

Semester II

 

 

I

Databases & Information Retrieval Data Mining
Statistical Methods for Data Analysis Predictive Analytics
Optimization and Heuristics Text Analytics
Java Programming Social Networks Analysis
Topics in Analytics with R Topics in Analytics with Python
Programming Lab Courses/ Project Courses - I Programming Lab Courses/ Project Courses - II
Year Semester III Semester IV
II Data Visualization Internship Program in Industries/organizations where already Data Analytics is implemented
Analytics for Big Data
Data Warehousing
Elective I, II, III

The program structure is tentative, subject to change (if required).

Program Structure (Part-time)

The three year program is organized into six semesters. Every student is required to take a minimum of 3 elective courses in the fifth semester. The elective courses are chosen in consultation with the thesis supervisor to match the interest of student as well as the requirements of the project work. The sixth semester is dedicated to the Project Work. Classes for part-time students will be held on weekends.

Year

Semester I

Semester II

 

I

Databases & Information Retrieval Data Mining
Distributed and Cloud ComputingPredictive Analytics
Topics in Analytics with R Java Programming
Programming Lab Courses / Project Course I Programming Lab Courses / Project Course II

Year

Semester III

Semester IV

 

II

Text Analytics Data Visualization
Statistical Methods for Data Analytics Analytics for Big Data
Topics in Analytics with Python Data Warehousing and Workflow Management
Programming Lab Courses / Project Course III Programming Lab Courses / Project Courses IV
Year Semester V Semester VI
II Elective I Project and Viva Voce
Elective II
Elective III

The program structure is tentative, subject to change (if required).

List of Electives
Healthcare Analytics E Commerce and Social Media Analytics
Predictive Models for Credit Risk Management Mobile and IoT Analysis
Customer Analytics

Focus Areas: The Program consists of five core courses along with following focus areas: Computer Science, Prescriptive Analytics, Statistics, and Information retrieval Technology. The students can select one or more focus areas, with the approval of their advisor, to choose a coherent set of electives from different areas.

The core courses are designed to provide an overview of the main technical areas of Data Analytics. The core courses will address the following areas:

  • Analytics and Decision Analysis
  • Data Mining
  • Big Data and Advanced Analytics
  • Statistical Modeling and Visualization

The Program consists of core courses along with four concentrations, namely: computer science, prescriptive analytics, statistics, and applied information technology. The core courses are designed to provide an overview of the main technical areas of Data Analytics.

Career Opportunities From insurance to banking to retail, data analytics is helping to usher in a digital revolution and drive revenues as tools scan millions of pieces of information and pin down practical lessons for companies

  • Harness data mining methods to answer crucial business questions from internal and external data sources
  • Create competitive advantage from both structured and unstructured data
  • Predict outcomes with supervised machine learning techniques
  • Unearth patterns in customer behaviour with unsupervised techniques
  • Work with R and RHadoop to analyze structured, unstructured and Big Data.

The career path and present scenario of jobs, salary packages and companies hiring big data analysts as it is the most demand job profile in technology world as every organisation are turning to big data analytics to manage large amount of data that are being generated everyday.

Admission Modalities

The Admission Modalities are with reference to the campus-based PG and Ph.D Programs offered by The ICFAI Foundation for Higher Education (IFHE), Hyderabad.

ADMISSION CALENDAR

Last Date for Submission of completed Application Form June 30, 2017
Eligibility / Admission Test July 10, 2017
Results July 14, 2017
Personal Interviews July 21 & 22, 2017
Reporting and Registration August 07, 2017
Commencement of Program August 08, 2017

Eligibility & Fee M.Sc. (Data Analytics) Full-time and Part-time

Program Duration Fee Details Rs.
Admission Fee Total Program Fee Caution Deposit
M.Sc. (Data Analytics) Full-time 2 Years 20,000 2,52,000 10,000
M.Sc. (Data Analytics) Part-time 3 Years

* Full-time Ph.D students in Basic Sciences who maintain the prescribed levels of Academic and Research progress recommended by the University will get a full waiver of program fee.

PG Programs:

M.Sc (Data Analytics), programs is common to all 3 PG Programs:

GATE / ICFAI Master’s Entrance Exam (IMEE 2017) Qualified candidates are eligible.

Candidates who have Qualified in GATE (2015 onwards) need not write the ICFAI Master’s Entrance Exam 2017. They can directly appear for Interview.

IMEE 2017:

ICFAI Master’s Entrance Examination (IMEE 2017) is an aptitude test conducted by ITS, IFHE, for students seeking admission into the PG Programs of ICFAI Tech School. The test is of one hour duration. The question paper consists of 50 multiple choice questions with duration of 60 minutes.

M.Sc (Data Analytics): There will be three sections. All questions will be MCQs.

Section 1: Verbal reasoning and quantitative reasoning. (Refer to GRE syllabus); Section 2: Basic programming skills in programming languages (C/C++); Section 3: Mathematics/ Probability and Statistics.

Personal Interview

Candidates based on the performance in GATE (from 2015 onwards) / IMEE 2017 will be called for Personal Interview at ICFAI Tech School, IFHE, Hyderabad on July 21 & 22, 2017.

The question paper will be divided into two parts of 100 marks each.

Part-A is common to all subjects. There will be one precise writing followed by MCQs in Basic Chemistry, Mathematics, Physics and Awareness in Computers.

Part-B contains MCQs in the subject studied at the Masters level.

Ph.D. Program in Basic Sciences (Full-time and Part-time)

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The ICFAI Tech School (ITS), (Faculty of Science & Technology), IFHE, Hyderabad offers Doctoral Programs in Chemistry, Mathematics and Physics on full-time and part-time modes. The Ph.D Program provides scholars with opportunities to undertake research in emerging areas of Chemistry, Mathematics and Physics.

Objectives of the Program


  • Acquire fundamental and in-depth knowledge in the chosen field of research.
  • Apply research methodologies to undertake contemporary research problems.

Program Outcome


On successful completion of the program, every scholar must be able to:
  • Critically apply knowledge to address fundamental questions in their primary area of research.
  • Innovative research in the chosen discipline/an interdisciplinary area.
  • Follow the principles of ethics in research and in academia.
  • Demonstrate, through service, the value of their discipline to the community at large.

Areas of Research

Chemistry

Analytical Chemistry, Coordination Chemistry, Environmental Chemistry

Mathematics

Number Theory, Boolean Algebra, Fluid Dynamics

Physics

Mathematical Physics, Non-Linear Dynamics, Experimental Optics (Lasermatter interaction), Computational Condensed Matter Physics.


Eligibility


Pass with minimum 60% or 6.0 CGPA in M.Sc / M.Phil degree in Chemistry / Mathematics / Physics from a recognized Indian University or its equivalent degree from a Foreign University recognized by UGC / AIU.

The following candidates who satisfy the above eligibility criteria are eligible for admission into Part-time Ph.D. Program:
  • Candidates sponsored by recognized R & D organizations / Industries with a minimum of three years work experience
  • College teachers with a minimum of three years teaching experience.

Candidates seeking admission as part-time research scholars have to submit No Objection Certificate (NOC) from the employer to pursue Ph.D. They should also submit permission letters from their employers to attend Ph.D. course work conducted in two spells in the first year of the program.

Program Duration

The duration of Ph.D. program is a minimum period of four years to a maximum period of eight years from the date of registration. All full-time students admitted into the Ph.D. program must successfully complete the preparatory course work of two semesters duration and Ph.D. qualifying examination before registration.

Part-time students must complete Ph.D. course work conducted in two spells in the first year of the program before registration.

Admission Process

Admission into the Ph.D Programs (full-time/part-time) shall be through a Ph.D Entrance Test and an Interview.
The following categories of students are exempted from entrance test:
  • Candidates who have qualified for UGC/CSIR-JRF.
  • Candidates who have completed M.Phil, provided the M.Phil admission was based on an entrance test.

Fee for Ph.D. Program

The selected candidates have to pay an Admission fee of Rs.40,000. A refundable Caution Deposit of Rs.10,000 is to be paid along with the admission fee. The Caution Deposit will be refunded without interest (after adjusting for dues, if any) on completion of the program.

The Program fee is Rs. 60,000 per Semester. The Program fee is provided as financial assistance and is waived for full time research scholars, subject to meeting minimum academic requirements as specified by ITS. However, for part-time Ph.D students, financial assistance / waiver of fee is not applicable.

Fellowship

Full-time Ph.D. scholars, who do not receive any other fellowship, will be awarded the University fellowship of Rs.25,000 per month, from the date of admission, for a maximum period of four years that include one year of course work plus three years of thesis work. Continuation of scholarship is subject to satisfactory research progress shown by the scholar. A professional development grant of Rs.20,000 per annum is also given to full-time research students for a period of four years, which includes one year of course work and three years of thesis work.

Fellowship / stipends are not applicable for part-time Ph.D students.

Admission Modalities

The Admission Modalities are with reference to the campus-based Ph.D Programs offered by The ICFAI Foundation for Higher Education (IFHE), Hyderabad.

ADMISSION CALENDAR

Last Date for Submission of completed Application Form June 30, 2017
Eligibility / Admission Test July 10, 2017
Results July 14, 2017
Personal Interviews July 21 & 22, 2017
Reporting and Registration August 07, 2017
Commencement of Program August 08, 2017

Eligibility & Fee M.Sc. (Data Analytics) Full-time and Part-time

Program Duration Fee Details Rs.
Admission Fee Total Program Fee Caution Deposit
Ph.D. in Basic Sciences (Full-time) 4 Years 40,000 4,80,000 10,000
Ph.D. in Basic Sciences (Part-time) 4 Years 40,000 4,80,000 10,000

* Full-time Ph.D students in Basic Sciences who maintain the prescribed levels of Academic and Research progress recommended by the University will get a full waiver of program fee.

Ph.D in Basic Sciences (Chemistry / Mathematics / Physics):

Admission is through Ph.D Entrance Test and an Interview. The following category of students are exempted from Ph.D Entrance Test.

  • Candidates who have qualified for UGC/CSIR-JRF.
  • Candidates who have completed M.Phil, provided the M.Phil admission was based on an Entrance Test.

Pattern of Ph.D Entrance Test: The pattern for the entrance test will be as given below:-

The test will be for two hours duration and shall carry a maximum of 200 marks.

The question paper will be divided into two parts of 100 marks each. Part-A is common to all subjects. There will be one precise writing followed by MCQs in Basic Chemistry, Mathematics, Physics and Awareness in Computers. Part-B contains MCQs in the subject studied at the Masters level.

There will be no negative marking for wrong answers. Please visit www.ifheindia.org/fst for detailed syllabus of the Ph.D Entrance Test.

Ph.D. Admission Interview: Candidates who have qualified in the Ph.D. Entrance Test shall be called for Ph.D. Admission Interview. After the Ph.D. Admission Interview the list of eligible candidates for registration for full-time / part-time Ph.D. program will be finalized.