DA-IICT launched the unique four-year undergraduate program leading to the degree of B.Tech. (Honours) in ICT with minor in Computational Science from 2013-14 academic session.

The ICT embodies the convergence of Computer and Communication systems and has obtained wide acceptance as a distinct discipline. It is also expected that ICT graduates would enjoy a special niche only if they have certain performance capabilities not found in conventional CSE and/or ECE graduates. Logically this convergence takes place at the systems level, but at the same time it is necessary to accept a certain level of granularity as one goes down to the level of circuits, devices and materials. All programs are designed to operate on a semester-based framework that follows choice-based credit system.

Computational science involves use of mathematical models, numerical methods, quantitative analysis techniques, advanced computing capabilities and IT knowledge to understand and solve complex science, engineering and social problems aimed in improving products, processes, and work-flows. The institute started this program in the area of Computational Science to impart the necessary knowledge and insight to the students to build computational models to understand, analyze and address fundamental problems in the areas of societal importance.

The minor in CS program is focused on two main lines – theoretical learning and practical implementation. The students must take core/group-elective courses in the areas of Mathematics, Physics, Numerical and Computational Methods, Modeling and Simulation, High Performance Computing, Parallel Programming, Data analysis and Visualization. The electives are further designed to sharpen this skill-set by providing domain knowledge in interdisciplinary areas ranging from engineering to biological applications.

The B.Tech. (Honours) in ICT with minor in Computational Science requires a student to complete additional 18 credits (four courses) in the core and elective components of Computational Science in addition to the B.Tech. in ICT program requirement.

### Program Structure

The course structure of the curriculum is broadly classified into four categories.

**Foundation or Core Courses:**Set of compulsory courses taken by every student for first five semesters. These courses are from the technical areas of Computer Science and Information Technology, Electronics and Communication, as well as courses in Humanities, Mathematics and Basic Sciences.

**Elective Courses:**These courses add to both, the technical strength and humanities and social science skills of the program. The students can choose the elective courses from the available ones from fifth semester onwards. The elective courses are grouped into the following categories.

- ICT Electives
- Technical Electives
- Humanities and Social Sciences Electives
- Science Electives
- Open Electives

**Internships and BTech Projects :**Students will do a rural internship during the third semester winter break at NGO or Government Organization. The students will do an industrial or research internship during the summer break in the end of their 6th semester. Finally the student will take a semester long on-campus project (BTP) or the off-campus project – Industrial Training Project (ITP).

**Co-curricular Activities and Exploration Project:**Co-curricular activities are non-class activities like sports, cultural and technical club activities. These courses run over the first four semesters and are graded Pass/Fail.

Exploration projects allow students to explore their surroundings to identify interesting problems that admit a design based and/or hardware based solution and make such a product by leveraging the introduction to ICT skills learnt in the first semester. Students are expected to work in groups of 8 to 10 under a faculty mentor over two semesters - second and third semester. This course will be graded on a Pass/Fail basis.

A unique feature of the program is the mandatory rural internship, which is expected to give the student a feel of his/her social milieu and is typically carried out with an NGO and Govt. organizations. The rural internship is offered in the Winter break after the 3rd semester. After the completion of foundation courses, the student is required to take a 6-8 week mandatory industrial/research internship, which is offered in the summer break after the 6th semester. The student has a choice of taking an industrial internship or a research internship depending on his/her career goals. The student is required to take at least a semester long BTech project (BTP), during which he/she is required to demonstrate his/her ability to learn current areas of research and/or industrial interest. Furthermore, a student has option to do BTP as on-campus or off-campus mode, where the on-campus mode allows the student to explore his/her research interest under the supervision of a faculty, whereas the off-campus mode allows the student in getting exposure to industry and/or other R&D organizations/universities.

Most of the foundation courses are offered in the first four semesters and a part of the fifth semester. These courses are from the technical areas of Computer Science and Information Technology, Electronics and Communication, as well as courses in Humanities, Mathematics and Basic Sciences. In the remaining 3 and a half semesters, students take elective courses and do internships and projects.

The curriculum accommodates 166 credits, out of which 147 credits for courses and 19 credits for internships and project work. In addition, there are 6 credits for Co-curricular Activities courses and Exploratory Projects. Out of the 147 required coursework credits, 108 credits are allocated to compulsory courses (Foundation courses) and 39 credits are allocated to four kinds of electives (12 credits are allocated to ICT electives, 12 credits to Technical electives, 6 credits to Science electives, 3 credits to HASS elective and 6 credits to Open electives), which the student can choose according to his/her inclination and interest.

### Semester-wise course sequence

Each course is associated with a fixed number of credits. Credits are awarded on an L-T-P-C system (C=L+T+P/2) per semester, that is, the number of contact hours for Lectures (L), Tutorials (T) and Practical (P) in a week. Nominally, since a semester has around 13–14 weeks of classes, therefore, a 3credit lecture course would amount to approximately 40 lecture hours in a semester.

Semester I | L-T-P-C |
---|---|

Introduction to ICT
×
## Introduction to ICTThis course is designed to provide students a contextual understanding of different facets of ICT along with the practical exposure to basic engineering tools. It also involves Lab work on engineering drawing, working with lathes and CNC (Computer Numerical Control) machines for realizing complex machined parts; and working with circuit boards and chips – soldering, PCB design, multi-layer service-on-chip. |
1-0-2-2 |

Language and Literature
×
## Language and LiteratureThis course introduces students to the study of the English language and literature at the undergraduate level. It follows a two-pronged approach: first, teaching the English language through literature; secondly, introducing the students to the world of literature and teaching them strategies of reading and comprehending. |
3-0-0-3 |

Calculus
×
## CalculusThis course aims at building an advanced understanding of calculus in single, multi, and complex variables. Calculus of single variable deals with the concepts of functions of a single variable, limits, continuity, discontinuity, differentiation, applications of derivatives, Taylor’s series and Taylor’s theorem, definite integrals, and their applications. This section also includes first-order ordinary differential equations (ODE) and higher-order ODEs. The calculus of multi-variables discusses functions of multi-variables, limits, continuity, differentiation, integration, and their applications. Complex variables include complex functions, limit, continuity, differentiation, analytic functions, CR equations, harmonic functions, contour integrals, power series, Laurent series, singularities, and residues. |
3-1-0-4 |

Introduction to Programming
×
## Introduction to ProgrammingThis course aims to introduce problem solving techniques using C programming to help the students to develop analytical and logical skills. The critical aspects of any programming language (PL) are the way it stores the data, operates upon the data, accomplishes input and output and lets you control the sequence of execution of instructions in a program. This course aims to introduce problem-solving techniques using C/Python PLs to help the students to develop analytical and logical skills. The topics of this course include problem-solving techniques, flow charts, algorithms development, and pseudo codes. |
3-0-0-3 |

Programming Lab
×
## Programming LabThis course deals with the practical aspects of the Introduction to Programming course. It provides hands-on practical knowledge on programming exercises using tools like editors, compilers, and open-source coding platforms. |
0-0-2-1 |

Basic Electronic Circuits
×
## Basic Electronic CircuitsThe objective of this course is to discuss basic concepts of electrical and electronic circuits and components. In a nutshell, it contains different circuit laws, network theorems, the concept of a linear time-invariant system, different sources, semiconductor diode, transistors, operational amplifier, natural and forced response, sinusoidal steady-state analysis, active & passive filters, and transformer. |
3-0-2-4 |

Co-curricular Activities-1
×
## Co-curricular Activities-1This is an attempt to bring co-curricular activities within the ambit of the ICT curriculum. It is envisaged that through these courses, students will be able to internalize the ICT context in an informal setting and make the campus more vibrant. Students can choose to participate in any of the large number of clubs e.g. Electronic hobby club, programming club, press club, Theater club, Remedial Programming and Remedial English Communication. |
0-0-2-1 |

Total |
17 |

Semester II | L-T-P-C |
---|---|

Approaches to Indian Society
×
## Approaches to Indian SocietyThis course aims to introduce students to a broad comparative methodological framework for understanding different cultures with particular reference to social organization, politics and religion illustrated with various ethnographic studies. The objective is to help students apply basic anthropological understandings of cultural and social diversity and reflect upon the shifting trajectories and conditions of tradition and modernity in India. At the end of the course students should have a basic critical and analytical understanding of social and cultural diversity and how such diversity needs to be addressed and understood in the context of our emerging techno-scientific futures. |
3-0-0-3 |

Discrete Mathematics
×
## Discrete MathematicsDiscrete Mathematics covers the concept of mathematical proofs, concrete proof techniques, and the use of mathematical language to make precise statements and draw accurate and insightful conclusions on discrete mathematical structures of a wide variety. Topics include: Propositional Logic, First Order Logic, Sets, Relations, Functions, Proof Techniques, Mathematical and Structural Induction, Recursion and Recurrence relations, Counting Techniques, Binomial Theorem, Permutations & Combinations, Matrices, Number Theory, Computational Problems, Algorithms, Formal Languages, Computational Models, Graphs, Trees. |
3-1-0-4 |

Digital Logic and Computer Organization
×
## Digital Logic and Computer OrganizationThis course provides an introduction to the design and implementation of digital circuits and microprocessors. Topics include transistor network design, Boolean algebra, Karnaugh Map based logic minimization, combinational circuits such as buffer, full adder, multiplexer, decoder and encoder. It also covers sequential circuits such as latches, flip-flops, registers, counters, and finite state machine design. Instruction set architecture, and memory hierarchy are also covered as part of the course. Design methodology using both discrete components and hardware description languages are covered in the lab component of this course. |
3-0-2-4 |

Data Structures
×
## Data StructuresThe course aims to introduce the concept of data structures, and their indispensability in implementing algorithms and also how they aid in improving performance. An extensive coverage of the well-known and important data structures such as arrays, linked lists, queues, stacks, hash tables, binary search trees, AVL trees, red-black trees, 2-3-4 trees, heaps, along with associated routines/algorithms such as dictionary operations, order statistics, sorting will constitute the contents of the course. |
3-0-0-3 |

Data Structures Lab using OOP
×
## Data Structures Lab using Object Oriented ProgrammingData Structures serve as building blocks in most computer applications for efficient storage and retrieval of data. As such they also amount to significant weightage in the interview/recruitment process of most CS/IT companies. The aim of this course is to provide the students practical hands-on exposure in implementing different data structures from scratch using the paradigm of Object Oriented Programming. The preferred programming language is C++. This practical course supplements and runs in sync with its theory counterpart 'Data Structures". |
1-0-2-2 |

Electromagnetic Theory
×
## Electromagnetic TheoryThe course is designed to introduce the fundamentals of electromagnetic waves and its propagation in a medium. It introduces the tools of vector calculus, the various differential operators and the divergence and the Stokes’ theorem. Electricity and magnetism is introduced. The imaginary fields and their relation to sources is emphasized through Gauss’ and Ampere’s law. The idea of energy stored in these imaginary fields is introduced. Boundary value problems introduce methods to solve partial differential equations. The interdependence of time-varying electric and magnetic fields through Faraday’s law and Maxwell’s law is introduced. The idea of electromagnetic waves and the energy carried by them is introduced to emphasize the physical reality of fields rather than being imaginary. |
3-1-0-4 |

Exploratory Project 1
×
## Exploratory Project 1This course allows students to explore their surroundings to identify interesting problems that admit a hardware based solution and design and make such a product by leveraging the engineering workshop skills learnt in the first semester. Students are expected to work in groups under a faculty mentor and conceive and implement a project over two semesters. |
0-1-0-1 |

Co-curricular Activities-2
×
## Co-curricular Activities-2This is an attempt to bring co-curricular activities within the ambit of the ICT curriculum. It is envisaged that through these courses, students will be able to internalize the ICT context in an informal setting and make the campus more vibrant. Students can choose to participate in any of the large number of clubs e.g. Electronic hobby club, programming club, press club, Theater club, Remedial Programming and Remedial English Communication. |
0-0-2-1 |

Total |
20 |

Semester III | L-T-P-C |
---|---|

Science, Technology, Society
×
## Science, Technology, SocietyThis course introduces students to key questions in the philosophy, history and sociology of science and technology in our times. Science and Technology Studies (STS) is a growing field of interdisciplinary studies that seeks to understand how science and technology shape human lives and livelihoods and how society and culture, in turn, shape the development of science and technology. This course involves reading, class discussion, and group projects on selected topics related to the field. |
3-0-0-3 |

Linear Algebra
×
## Linear AlgebraLinear Algebra is fundamental to a lot of engineering applications in a wide variety of areas like Robotics, Image & Signal Processing, Machine learning, Coding theory, Quantum Computing, etc. The course introduces students to the Mathematical structure of Vector Spaces, and associated concepts like Subspaces, Dimensions, Linear Transformations and their Matrix representations, Invariant Subspaces, Inner products and Norms. Some tools from Matrix algebra are also covered, for example, Solutions of linear equations, Rank of Matrices, Linear least squares, Eigen-decomposition, and Singular Value decomposition. |
3-1-0-4 |

Design and Analysis of Algorithms
×
## Design and Analysis of AlgorithmsThis course intends to provide a rigorous introduction to fundamental techniques in the design and analysis of algorithms. The course aims to cover the asymptotic notation, divide and conquer techniques, solving recurrences, greedy algorithms, dynamic programming, sorting and searching algorithms, depth first search, breadth-first search, topological sort, minimum spanning trees, shortest path problem, pattern matching, NP-completeness, and approximation algorithms. |
3-1-0-4 |

Computer Systems Programming
×
## Computer Systems ProgrammingThe course takes an introductory look at the core abstractions in operating systems: processes, virtual memory and files. It takes an in-depth look at the OS services provided by system calls, how system calls work, and how they can be used. Students will become familiar with writing application programs using system calls. Topics include process control, signals, virtual memory, system-level I/O, threads and concurrency issues. |
3-0-2-4 |

Signal and Systems
×
## Signal and SystemsThe main focus of this course is to introduce different types of signals and systems covering different signal properties such as periodicity, energy, power, etc., and different system properties such as linearity, time-invariance, causality, and stability. It discusses the methods to analyze signals with the help of the Fourier series and Fourier transform. It also elaborates on converting a continuous-time signal to a discrete-time signal using sampling. Further, Laplace and Z-transforms are used to analyze continuous and discrete-time systems, with an introduction to filters (lowpass, highpass, bandpass). |
3-0-2-4 |

Exploration Project 2
×
## Exploration Project 2This course allows students to explore their surroundings to identify interesting problems that admit a hardware based solution and design and make such a product by leveraging the engineering workshop skills learnt in the first semester. Students are expected to work in groups under a faculty mentor and conceive and implement a project over two semesters. |
0-0-2-1 |

Co-curricular Activities-3
×
## Co-curricular Activities-3This is an attempt to bring co-curricular activities within the ambit of the ICT curriculum. It is envisaged that through these courses, students will be able to internalize the ICT context in an informal setting and make the campus more vibrant. Students can choose to participate in any of the large number of clubs e.g. Electronic hobby club, programming club, press club, Theater club, Remedial Programming and Remedial English Communication. |
0-0-2-1 |

TOTAL |
19 |

Semester IV | L-T-P-C |
---|---|

Principles of Economics
×
## Principles of EconomicsThis is a foundation course which includes elements of both Micro and Macroeconomics and aims to develop an understanding of basic economic theory and its relation to current issues of the economy. The problem of how to allocate society’s scarce resources efficiently and the ways in which various decision-making units in the economy (individuals and firms) make their consumption and production decisions are taken up when explaining consumer preferences and the theory of the firm. Students will also be introduced to macroeconomic concepts such as national income accounting and inflation. The reference to monetary, fiscal and foreign exchange rate policies will help them appreciate the role of central banks and the government in the economy. |
3-0-0-3 |

Probability and Statistics
×
## Probability and StatisticsThe course introduces students to the basics of probability and statistics. Probability theory has wide-scale applications in mathematics, engineering, and finance. The student is introduced to the axiomatic way of looking at probability invented by Kolmogorov. The different types of random variables are introduced with context and examples. The student learns the limit theorems such as the central limit theorem with their applications. The course ends with some introductory statistics in the form of estimation and regression. |
3-1-0-4 |

Database Management System
×
## Database Management SystemThis course teaches use of Database Management System (DBMS) to understand and solve a wide range of information storage and query processing problems. It is a lab-intensive course, where students will be working on a series of assignments where they learn to apply concepts discussed during the lectures to different aspects of database design and querying. As part of the lab assignments/ a project, students will learn to build and query the database using a DBMS tool for the given case study. The students will be learning some advanced topics like query optimization, distributed databases, and transaction management. |
3-0-2-4 |

Embedded Hardware Design
×
## Embedded Hardware DesignThis course will give the students an understanding of embedded hardware design which includes the programming microcontrollers, interfacing of external peripheral devices such as sensors and actuators to microcontrollers, and troubleshooting the embedded systems. This course aims to cover computing devices, associated peripherals and networks along with high level software(C) and hardware language (Verilog HDL). The course would first only consider the microcontroller as a computing device and build up the concept of peripherals and networks around it. Standard peripherals like ADC, DAC, UART, and Real-Time Clock will be covered. Different communication standards and protocols such as RS 232, RS 485, I2C, CAN, I/O devices like keyboard, keypad and LCD would be discussed. Designing of embedded hardware by embedding sensors and actuators will be explored. |
3-0-2-4 |

Introduction to Communication Systems
×
## Introduction to Communication SystemsIt is a foundation course for analog and digital communication and other advanced communication courses. The objective of this course is to make the students appreciate what a telecommunication system is, why it is required, and its fundamental concepts. The course includes the topics of analog communication, such as amplitude modulation, frequency modulation, and demodulation techniques. In digital communication, it contains Shannon’s theory of information, energy, and spectral efficiencies, the entropy concept, sampling theorem, scalar quantization, speech coding, and different modulation techniques. It ends with applications in wireless communication, SATCOM, fiber optic systems, microwave transmission engineering, and transmission line. |
3-0-2-4 |

Introduction to Computational Physics
×
## Introduction to Computational PhysicsThis is a calculus-based introductory computational physics course, aimed to develop insights into solving a wide range of physical problems. The emphasis of the course is on providing an exposure to a set of analytical and numerical methods for solving physical problems in classical mechanics (including a basic idea of relativity), nuclear processes, fluid systems, oscillators, central forces, planetary motion, diffusive systems and quantum mechanics. The mathematical approach is based on first-order and second-order dynamical systems, along with analytical and computational methods to solve them. |
3-0-3-4.5 |

Co-curricular Activities-4
×
## Co-curricular Activities-4 |
0-0-2-1 |

TOTAL |
23.5 |

Semester V | L-T-P-C |
---|---|

Software Engineering
×
## Software EngineeringThe Software Engineering course introduces the basic principles, practices, tools and techniques required to engineer large complex software systems. The main objective is to understand and learn how complexity and change are engineered during large software development. The contents to be covered are: (1) Software Requirements Modeling and Specifications, (2) Software Architecture and Design Patterns, Software Development Methodologies, (3) Software Measurement and Metrics, (4) Computer Aided Software Engineering and Tool Support (DevOps, Automation), (5) Software Quality Standards and Quality Assurance, (6) Applications of ML and AI in analyzing software products. |
3-0-2-4 |

Digital Communications
×
## Digital CommunicationsThis course provides a study of the founding principles and design of digital communication systems. The following topics are covered: sampling, analog signal reconstruction from discrete-time samples, pulse code modulation (PCM), representation of signals as vectors, Gram-Schmidt orthonormalization, study of amplitude shift keying (ASK), phase shift keying (PSK), quadrature amplitude modulation (QAM) and frequency shift keying (FSK), design for bandlimited channels: Nyquist criterion for ISI avoidance, optimal demodulation in additive white Gaussian noise (AWGN) and elements of Information theory. The theory portion is well supplemented by experiments on hardware kits and simulations in softwares such as MATLAB in the lab component of the course. |
3-0-2-4 |

Computer Networks
×
## Computer NetworksThis course will cover the fundamental principles of wired computer networks focusing on the Internet architecture, protocols, and implementation. The objective is to provide an understanding of how the Internet works, what is a network application, the client server model and many other concepts. Lastly, we will learn to create a network of computers that emulate the behavior of the Internet. |
3-0-2-4 |

ICTE-1 | 3-0-2-4 |

TE-1 | 3-0-0-3 |

Numerical and Computational Methods
×
## Numerical and Computational MethodsA lot of engineering applications require us to solve problems that may not have analytical solutions. One needs to approximate the problem into a simpler problem that can be solved using computational methods. This course introduces students to various such scenarios, and conveys the importance of analyzing such approximate methods in terms of efficiency and errors. Topics covered are: solutions to transcendental and algebraic equations, interpolation, approximation of functions using polynomials, numerical differentiation and integration, and numerical solution to differential equations. |
3-0-3-4.5 |

TOTAL |
23.5 |

Semester VI | L-T-P-C |
---|---|

Environmental Science
×
## Environmental ScienceThe course is mandated by the UGC - under the direction of the Honorable Supreme Court - for all undergraduate degree programs offered by any University/College in India. The main objectives are (i) to sensitize the students to the Earth's environment, which sustains life on the Earth, and (ii) to bring awareness regarding climate change, sustainable development, and problems related to the environment affecting human society. The course's central theme is that the environment is both the supplier and the sink for humankind. Everything we humans use in our daily lives originates ultimately from the environment. Similarly, the waste we generate is also sent back to the environment. The course focuses on the sustainable use of the environment. |
3-0-0-3 |

SE-1 | 3-0-0-3 |

ICTE-2 | 3-0-2-4 |

TE-2 | 3-0-0-3 |

TE-3 | 3-0-0-3 |

Modeling and Simulation
×
## Modeling and SimulationThis course introduces students to various tools, concepts, and techniques required to model, analyze, understand and make predictions of real-world, complex dynamical systems. They learn abstraction techniques, develop conceptual and mathematical models, and use modern softwares. The course lies at the intersection of computer science, applied mathematics, and sciences. Students learn to develop understanding systems from different disciplines by using computation to simulate and analyze epidemic and rumor spread, random walk, diffusion, financial data, opinion formation, forest fires, etc. Students get exposed to differential equations, probabilistic, cellular automata, and agent-based simulation methods. The course also allows the students to understand modeling techniques' universality, limitations, and challenges. |
3-0-3-4.5 |

High Performance Computing
×
## High Performance ComputingThe HPC course aims to provide a systems perspective towards achieving the maximum possible performance out of a particular computing system for a particular algorithm/ problem. This course provides an hands-on introduction to parallel computing and aims at teaching basic models of parallel programming including the principles of parallel algorithm design, modern processor and parallel computer architectures, performance analysis, and programming models for shared memory (using OpenMP) and distributed-memory (using MPI) systems. Design, implementation, profiling, parallel complexity analysis and code-optimization of some important scientific and engineering algorithms for parallel systems are also taught with case-studies. |
3-0-3-4.5 |

TOTAL |
20.5 |

Semester VII | L-T-P-C |
---|---|

BTP-1 | 0-1-6-4 |

ICTE-3 | 3-0-2-4 |

TE-4 | 3-0-0-3 |

HASSE-1 | 3-0-0-3 |

SE-2 | 3-0-0-3 |

TOTAL |
17 |

Semester VIII | L-T-P-C |
---|---|

BTP-2 | 0-2-12-8 |

OE-1 | 3-0-0-3 |

OE-2 | 3-0-0-3 |

TOTAL |
14 |

**ICTE:** ICT Elective; TE: Technical Elective; HASSE: Humanities and Social Science Elective; OE: Open Elective; BTP: BTech Project

### Representative list of electives

- Graph Theory and Algorithms
- Approximation Algorithms
- Computational Complexity
- Randomized Algorithms
- Quantum Computing
- Introduction to Cryptography
- Blockchain and Cryptocurrencies
- Adversarial Machine Learning
- Machine Learning and Security
- Introduction to coding theory and
- Applications
- Compiler Design
- Digital Image Processing
- Internet of Things
- Digital Signal Processing
- Statistical Communication
- Wireless System Design
- RF and Antenna Engineering
- Microwave Propagation
- Control Theory
- Human Computer Interaction

- Data Mining and Visualization
- Human Computer Interaction
- Natural Language Processing
- Natural Computing
- Software Engineering
- Optimization
- Computational Financial
- Modern Algebra
- Software Project Management
- Specification and Verification of Systems
- Models of Computation
- System and Network Security
- No SQL Database
- Web Data Management
- Speech Technology
- Deep Learning
- Recommendation Systems
- Intro. to AI
- Intro to Data Science
- Introduction to Robotics

- Introduction to Complex Network
- Stochastic Simulation
- Computational Number Theory
- Einstein's Physics
- Operating Systems
- Nanoelectronics
- Introduction to VLSI Circuits
- Analog IC Design
- Logic for Computer Science
- Modern European Philosophy
- Art: Ideas and Perspectives
- Human Behaviour Management
- Culture, Politics, Identity
- Organisational Behaviour
- Publics in South Asia: Contemporary Perspectives
- Systems, Policies and Implications

### Admission Process

Details on the application process, admission criteria, fee structure and financial assistance can be found here