The Electronics and Data Engineering is a four-year honours degree programme jointly offered by SIT and Technical University of Munich (TUM). Combining electronics and data engineering, this unique programme aims to equip students with the necessary skills and competencies for the emerging digital workforce.

Graduates from this programme modules will be equipped with deep knowledge in semiconductor physics and circuit design along with intensive mathematics for data science and machine learning.

Leveraging on TUM’s expertise in areas such as Semiconductor Physics, Circuit Design and Sensors and Power Electronics, students can apply emerging digital technologies set to revolutionise the electronics and semiconductor manufacturing industry.

Programme Brochure

For students enrolled in the Electrical Engineering & IT (EEIT) degree programme on or before the AY2019/20 intake, please refer to the programme brochure here. Please take note that this brochure is for personal reference only, and should not be used for other purposes.

Bachelor of Engineering (Hons) degree programme

Electronics & Data Engineering

Joint SIT – TUM degree from AY2020/21 intake onward

Undergraduate Programmes Brochure 2016-1
Download Brochure Here

TUM Asia is not responsible for the misuse or misrepresentation of the stated information within the brochures.

All information is accurate to the time of publishing. Updated January 2020.



A full-time diploma awarded by any one of the five local polytechnics are welcome to apply. In particular, applicants with a strong proficiency and interest in Mathematics and Physics are encouraged to apply.


Applicants who graduate with GCE ‘A’ Levels qualifications are eligible to apply for the Electronics & Data Engineering degree programme. Students with other qualifications (completed a formal 12-year education equivalent to A-Levels) are eligible to apply as well.

Subject Requirement(s):

  • A Level A/H2 Mathematics, and a A/H2 Science subject (Biology, Chemistry or Physics)
  • OR IB HL Mathematics, and a IB HL Science subject (Biology, Chemistry or Physics)
  • Obtained a pass in General Paper or Knowledge & Inquiry in the same sitting, while satisfying Mother Tongue Language* requirements.

 *GCE A Level/IB applicants need to fulfil the language requirements as stipulated by the German Higher Education System

 *GCE A Level applicants must have taken two language subjects, out of which one must be at H1 to fulfil the language requirements as stipulated by the German Higher Education System. If you have been exempted from taking MTL for your GCE A Level, you can retake the subject to fulfil the language requirements. For further enquiries on the language requirements, please contact TUM Asia Admission Office at

 The teaching faculty in the programme is from TUM and SIT, with a majority of the core and advanced modules taught by TUM faculty who fly in to Singapore from Germany.


  • Bioelectronics
  • Industrial Electronics
  • Semiconductor Physics
  • Internet of Things
  • Data Analytics
  • Machine Learning
  • Automation and Robotics
  • Eight-month Integrated Work Study Programme (IWSP)
  • Three-week Overseas Immersion Programme (OIP)

Single yearly intake, with course commencement in September every year.

All coursework are conducted in English and students will be taught by both German and Singaporean lecturers. Student-teacher ratio averages between 40:1 to 60:1.

Career Opportunities

Graduates can look forward to careers in these areas:

  • Electrical and Electronics Engineer
  • Application Engineer
  • Data Engineer
  • Data Analyst
  • Process Engineer
  • Production and Test Engineer
Overseas Immersion Programme (OIP)

One of the many benefits of getting a SIT – TUM degree is the chance to visit Germany and experience learning in a different setting. The three-week Overseas Immersion Programme (OIP) in Germany aims to widen students’ global outlook as they undertake projects in Germany to develop their interpersonal and technical skills, while exposing them to current industry challenges. Students may visit the main TUM campus, experience cross-cultural exchanges with German faculty and students, and learn industry best practices through educational site visits. Seize this great opportunity to learn first-hand from experts in the field!

“The most memorable experience was my time in Munich. There, I learnt to juggle my workload and leisure time, I learnt to be independent. I believe I have developed a greater bond with my peers throughout the 3 months spent in Munich. We worked hard & played hard together, helping each other in our thesis research, cooking for one another in our apartment. These are great memories for life.”
Richard Tan (Graduate, BSc in Electrical Engineering & I.T.)

Kindly note that the modules displayed here are for students enrolled in the Electrical & Data Engineering degree programme during or before the AY2019/20 intake.

Semester 1

MA9411 Calculus 1

Fundamentals: 1. real and complex numbers, supremum, induction, notion of functions, mathematical notation. 2. Sequences, series, limits, continuity.3. Integral and differential calculus.

MA9409 Linear Algebra

Vectors, matrices, linear equation systems, scalar and vector product, determinants, orthogonality, linear spaces, linear transformation, eigenvalues, matrix factorizations (especially diagonalization and singular value decomposition), matrix norm, Linear differential equations with constant coefficients.

EI0006 Digital Technology

1. Basics of digital information representation, informationprocessing and storage: number representation and arithmetic operations inbinary number system.2. Basic model for functional behaviour of MOSFET transistors, current equation, delay and dynamic power. 3. Circuitry-wise realization of arithmetic operations (addition, subtraction, multiplication) as well as the synthesis of bi- and multiple-stage combinatorial operations (conjunction, disjunction, negation) and sequential switchgears consisting of basic components (logic gates, registers, MOSFET transistors). 4. Logic optimization of combinational circuits (switching network). Techniques to improve the information flow of clocked, sequential switchgears via pipelineand parallel processing. 5. Role and structure of finite state machines as control and monitoring units of multiple convenient applications. 6. Basics of methodological testing of circuits: faultdiagnosis, derivation of fault coverage tables, testing regulations in combinational circuits and sequential switch gears. 7. Besides the functional aspects of digital circuit technologyandthe causes and limits of performance, the time response and the energy consumption of digital complementary metal oxide semiconductors (CMOS) technologies in the context of information and communication technology (ICT) are taught. 8. In addition necessary economic aspects of CMOS are addressed.

EI9002 Circuit Theory 1

Linear and nonlinear resistive circuits.1. Lumped-Circuit Approximation, Modelling: Electric devices, circuit elements, graphs, Kirchhoff’s laws, linearity. 2. One-ports: v-i characteristics and properties, parallel and series connections, DC-operating point and linear approximation, small-signal analysis. 3. Two-ports: Representations and properties, vector space approach, special two-ports, connections. 4. Transistors: Modelling of bipolar and field-effect transistors, basic circuits and their analysis (DC-points and small-signal approximation). 5. Operational Amplifiers: Linear and nonlinear modelling, basic circuits. 6. Multi-ports: Representations und special multi-ports. 7. Circuit Analysis: Interconnect and its properties, Tellegen’s theorem, incidence matrices, tableau analysis, node and loop analysis, direct set-up of the node-admittance matrix. 8. General Circuit Properties: Substitution theorem, superposition theorem, Mayer-Norton and Helmholtz-Thevenin theorems, passivity, incremental passivity und monotonicity. 9. Logic Circuits: Boolean algebra, basic gates and their realization.

EI9001 Physics

Mechanics, oscillations and waves, thermodynamics, optics, atomic and nuclear physics

Semester 2

MA9412 Calculus 2

1. Integral and differential calculus (multidimensional): curves, scalar and vector fields, partial derivative, gradient, total derivative, functional matrix, implicit functions, extreme values with and without constraints. 2. Differential and integral calculus (multidimensional): vector fields, line integrals, potential, and volume integrals. 3. Differential equations: ordinary differential equations, special types of 1st order differential equations.

EI1200 Algorithms and Data Structures

Automata theory, formal languages and grammar, fundamental string processing, design and analysis of algorithms, abstract data structures, graphs, trees, lists, pointers, queues, stacks, basic algorithms, sorting, searching, graph algorithms, complexity measures, modelling, basic programming techniques (loops, branches, pointers, etc.), basic language structure (programming using C), usage of editors and compilers.

EI0104 Computer Technology

Structure of computer systems, micro-architecture, instruction set architecture, data and instruction formats, assembler programming and high-level language, interaction of computer programs and operating system, operating system tasks.

EI9003 Circuit Theory 2

Linear and nonlinear dynamic circuits.1. Energy Storing Elements: Nonlinear and linear capacitor and inductor, curves in the u-q- and i-phi-plane, duality of charge and flux. 2. Properties of dynamic one port: linearity, memory and initial state, continuity, lossless property, energy storage and relaxation points. Series and parallel connection of dynamic one ports.3. Dynamic multi ports.4. First Order Circuits: Linear and piece-wise linear resistive circuits connected with a linear dynamic one port. Calculation of the port variables of time invariant circuits for constant, piece-wise constant and arbitrary excitations.Time variant circuits with switches. Piece-wise linear first order circuits: dynamic route, equilibrium states, impasse point, and jump phenomenon. Relaxation oscillators and bistable circuits. 5. Linear Second Order Circuits: System of coupled first order state equations in two state variables. Equation formulation, realization of the state equation. Zero input case: solution of the state equation with the eigenvalues and eigenvectors of the A matrix and transformation to the normal form. Discussion of solution types and types of equilibrium states with phase portraits and time functions. Consideration of autonomous systems and systems with arbitrary excitations.6. Nonlinear Second Order Circuits: Nonlinear resistive two ports connected with two linear dynamic one ports. Piece-wise linear two ports: classification of equilibrium states and sketch of phase portrait. Constant-energy circuits. 7. Limiting orbits: linear oscillator, relaxation oscillator. 8. Phasor Analysis: Systems with sinusoidal excitation in steady state. Properties of phasors: uniqueness, linearity, and differential rule. 9. Network functions: complex frequency and natural frequencies, frequency response: Bode plots.

EI1404 Electricity and Magnetism

Physical theory of electric and magnetic phenomena, that is relevant to technical applications:
1. Electrostatics: charge, electrical field, potential, capacity, electrical energy. 2. DC: current density, charge conservation, Kirchhoff’s circuit laws, Ohm’s law. 3. Magneto statics: magnetic fields, solenoidal fields, Ampere’s law. 4. Magnet. 5. Induction: electromagnetic induction (motional and motionless induction), inductivity, magnetic energy. 6. AC: linear circuit elements, complex AC analysis

Semester 3

MA9413 Calculus 3

1. Orthogonal series (especially Fourier series), Fourier transform, Hilbert space. 2. Partial Differential equations. 3. Complex analysis: Properties of analytic functions and integral transforms, residue theorem, Laurent expansion (Laurent series), singularities. 4. Differential equations: continuation of linear theory, nonlinear differential equations, existence and uniqueness theorems, stability.

EI2501 Signal Representation

Time-continuous and time-discrete signals, linear time-invariant systems (LTI-systems), convolution, convolution integral and convolution sum, pulse response of LTI-systems, stability and causality, periodic signals, orthogonal function systems, time-continuous Fourier series (FS), time-continuous Fourier transform (FT), Fourier integral, relationship between FS and FT, corresponding TF pairs, amplitude modulation and signal reconstruction, linear differential equations and transfer functions, Bode diagram, introduction to filter technology, time-discrete Fourier transform (TDFT), linear differential equations, time-discrete filters, sampling in the frequency domain, Laplace transform (LT), convergence properties of the LT, z-transform, residue theorem, discrete Fourier transform (DFT).

EI2500 Stochastic Signals

1. Probability theory: sample space, sigma algebra, probability measure, conditional probability, stochasticindependence, Bayes’ theorem, discrete and real random variables, probability distribution and density, joint distribution and density, functions of random variables, expectation and variance, conditional expectation, generating and characteristic function, central limit theorem, law of large numbers and Chebyshev inequality. 2. Standard stochastic models: (Bernoulli) uniform, binomial, Poisson, geometric,normal and exponential distribution. 3. Stochastic random sequences: ensemble of random variables vs. Path model, distributions and densities of random sequences, discrete random walk process, convergence of random sequences, Markov property, Markov chains. 4. Random processes: auto- and cross-correlation function, Wiener-Levy process, Poisson process, Markov processes, classification of random processes, power spectral density, Wiener-Khintchinetheorem, linear systems and random process, white Gaussian noise, deviation and integration of stochastic paths, the MSE-calculus and the Karhunen-Loeve development of random processes.

EI2406 Electromagnetic Field Theory

Theory of electromagnetism from field theory point of view as basis for the physical understanding of electromagnetic phenomena in technical applications:
1. Maxwell equations, material models, energy transport and electromechanical forces. 2. Electromagnetic waves: polarization, dispersion, damping, reflection, refraction. 3. Radiation of antennas in free space. 4. Reciprocity theorem.

EI2101 Materials of Electrical Engineering

Basics of quantum mechanics; structure of matter (atoms, molecules, crystals); mechanical, thermal, dielectric, optical and magnetic properties of solids; electrical and thermal transport, free electron gas; metals, dielectrics, plastics, glass and ceramics; energy band model; semiconductors and their applications; superconductivity; the most important materials for applications in electronics

Semester 4

MA9410 Numerical Mathematics

Numerical Analysis and Optimization: linear and nonlinear equation systems, error analysis, interpolation, numerical integration, initial value problems for ordinary differential equations (ODE), boundary value problems, partial differential equations.

EI0310 Discrete Mathematics

1. Propositional Logic: propositional forms, truth-set, laws of propositional logic, rules of inference; law of resolution; logic conclusions; binary decision diagrams (BDDs), operations on BDDs (application: e.g. logic verification, logic synthesis). 2. Predicate Logic: predicate logic forms, laws of predicate logic, deduction scheme, induction (application: e.g. petri nets). 3. Sets: notation, operation, relations between sets; Boolean algebra of subsets (application: e.g. string operations, discrete system simulation). 4. Relations and Graphs: fundamentals, operations on relations; properties of relations, representation of relations (e.g. matrix representation); closures, order relations, equivalence relations (application: e.g. graph algorithms); binary graphs, possibly graph algorithms; extrema. 5. Finite State Machines FSMs (possibly very briefly, depending on contents of other lectures): relation-based description; optimization of FSMs. 6. Algebraic Structures: rings: fundamentals, properties, substructures, homomorphism and isomorphism, modular arithmetic; groups: fundamentals, properties, homomorphism and isomorphism, coset. 7. Complexity Theory: numbering, elementary counting; asymptotic behaviour of cost functions.

EI2502 Communication Engineering

Source signals and their spectra.Sampling theorem, quantization, basic concepts of the rate-distortion theory, pulsecodemodulation (PCM), differential PCM. Basic concepts of information theory, source coding, entropy encoding. Baseband transmission: pulse waveformsand their spectra, Nyquist criterions, eye diagram. Transmission channel (e.g. AWGN-channel), matched filter, detection in random noise, error probability for anti-periodic and orthogonal transmission, linear digital modulation schemes (PSK, QAM), realization aspects (clock, phase and frequency estimation).

EI0307 Control Engineering 1

Basics of open-loop and closed-loop control, automation in technical and nontechnical systems. -Modelling, linearization and linear systems. – Time response of linear dynamical systems. –Standard dynamic system components, time-lagged systems. – Stability of LTI-systems, stability criteria. – Basicsofclosed- loop control and standard controllers. – Stability analysis of closed-loop control circuitsin the frequency domain, Nyquist- and Bode-diagrams. –Control unit design and methods for controller parameters. – Structural extension of single closed loop control structures via feed forward control and controller cascades. – Condition-based control unit design, linear-quadratic control, state monitor of LTI-systems. – Digital implementation of open-loop control, closed-loop control regulations and filter laws. – Discrete event open-loop control and Petri-Netz-modelling, coordination of partial control. – Technology of regulatory, control (open-loop control and closed-loop control) and automation systems. – Application examples.

EI1405 Measurement and Sensor Technology

Introduction to digital measurement systems, measuring amplifiers and bridges, display, conversionand processing of measurement data, measurement systems with resistive, capacitive and inductive sensors, technical temperature measurement, measurement systems with optical sensors, electric and magnetic effects in sensor materials, measurement systems with ion-conducting sensors, measurement systems with gravimetric sensors, measurement systems with time delay and Doppler sensors.

EI0306 Electrical Energy Technology

Importance of electricity industry, generation of electrical energy, energy storage technologies, three-phase system (alternating current technology), electric machines, transmission of electrical energy, electric power grids, high voltage technology, electric drives, (electronic) power converters, electrical safety.

EI2407 Electronic Devices

1. Basics in semiconductor electronics: bonding model and energy band structure, Electrical and optical properties of semiconductors, carrier transport, PN-junction and filed effect. 2. Structure and operation of semiconductor devices: Diodes (PN diodes, Schottky diodes, and optical diodes), bipolar transistor, MOS structure and field effect transistor, memory cells, IGBT, thyristor.

Electives Modules
Semester 5

Specialisation 1: Integrated Circuit Design

EI0626 Cryptology and IT-Security

1. The lecture serves as an introduction to cryptology and IT-Security,starting with the basic aspects of security: confidentiality, authenticity and integrity, anonymity, non-repudiation, authorisation and access control as well as threats and risks in IT-Security. 2. The relevant results from discrete math are reviewed with special focus on the arithmetics of finite fields and elliptic curves. 3. The discussion of cryptographic mechanisms (symmetric vs. asymmetric cryptography, stream cyphers, hybrid cryptography, one-way- and hash-functions, digital signatures) is succeeded by the inspection of important cryptographic algorithms. Common primitives are considered along with their modes of operation. 4. The application of these algorithms for cryptographic protocols such as challenge-response procedures, Diffie-Hellman key exchange, the Fiat-Shamir protocol, Kerberos and public key infrastructures is covered. 5. Complementary the implementation of complex secure systems such as PKI-infrastructures and access control will be studied as application examples. 6. Finally the design of secure systems, “system engineering” is discussed.

EI0674 Signal Processing Systems

1. Transfer function and impulse shaping 2. Time-continuous circuits and systems: 2.1 State space representation: forms of realization (direct form, normal form, and cascade form), sensitiveness. 2.2 Standard approximations: Butterworth-, Tschebyscheff-, Cauer- und Bessel-filter. 3. time-discrete circuits and systems: 3.1 Transfer functions of time discrete systems. 3.2 FIR- and IIR-systems, 3.3 FIR-filter design: linear phase FIR-filter, window function, LS-design in the frequency domain, minimum phase FIR-Filter. 3.4 IIR-filter design: Richards transform, Bilinear transform, time-discrete integrators. 3.5 Frequency transformations. 4. Stability: 4.1 Observability and controllability, 4.2 stability of state, bibo stability. 5. aadaptive signal processing: 5.1 Channel estimation: correlator, LS-estimation 5.2 Unbiased filtering: Zero- Forcing Algorithm, 5.3 Signal adapted Filtering: Matched Filter, comparison between Zero-Forcing Filter and Matched Filter; 5.4 Wiener-Kolmogorov Filtering: least square method, minimum mean-square error by Wiener Filter, comparison with Zero-Forcing and Matched Filter

EI3103 Lab Course Analog Circuit Design

This course gives students the opportunity to learn the basics of the design and the characterization of analog circuits. Therefore basic circuitry (e.g. differential pair, current and voltage references) has to be designed with standard industry-tools (Cadence, Matlab). The students have to develop the full schematic diagram and dimension the device parameters. Afterwards the circuitry has to be assembled with discrete devices and the functionality has to be tested. The device and circuit parameters have to be determined and evaluated with test circuits and measurement equipment. Familiarization with CAD environment, PVT (Process, Voltage, and Temperature) variation, Transistor Characterization.

EI3104 Lab Course Digital Circuit Design

The aim of the module is to provide the students with knowledge and understanding of practical Integrated Circuit (IC) design techniques in digital IC. It includes both digital IC design at transistor level as well as system level using hardware description language (HDL). Verilog-HDL is the targeted HDL in this semester. This is a full laboratory course with 100% laboratory assessment, and that’s no written examination.

Specialisation 2: Systems & Sensors

EI3200 Micro System Technologies (MEMS components)

Understanding of micro-structured energy converter system design and dimensioning of micro-transducers, piezoresistive transducers, piezoelectric transducers, magnetic transducers, Calculation of basic structures and design of micro-structured mechanical and fluidic elements

EI0667 Real Time and Embedded Systems

The Lecture “Real-Time and Embedded Systems” covers the topics:
1. Basics of embedded processor architectures 2. Bus and memory architectures 3.Performance/Timing analysis of embedded systems 4.Models for real-time systems 5.Principles of embedded software development, 6.Basic real-time programming language concepts (e.g. Esterel) 7.Real-time operating systems 8.Power management 9.Design space exploration

EI3301 Dynamics Systems and Control 2

Representation and Analysis of Multi-Input Multi-Output Systems, performance specification and limitations, H control (PK structure, H control problem, Mixed sensitivity design, characterization of H norm, control synthesis), bisection algorithm.

EI0663 Control and Automation Laboratory

The laboratory consists of experiments on the following topics: computer aided control design, state space control design, systems with distributed parameters, machine vision in automation systems, mobile robots, automation with petrinets and neuronal networks.

AY2020/21 - Fee structure for normal candidature period of study

SIT manages the financial portion of the joint Bachelor of Engineering programmes. Visit for the most updated information on tuition fees.

AY2016/17 - Fee structure for normal candidature period of study

Subsidized Fees

Singapore Citizens

Singapore Permanent Residents International Students (Inclusive of GST)

Nonsubsidised Fees (Inclusive of GST)

Per Annum

 10,260  20,200  27,285  37,557

The tuition fees listed is cited from the Singapore Institute of Technology website. SIT manages the financial portion of the Bachelor of Science programmes that TUM Asia conducts. For more information, please visit:

AY2015/16 - Fee structure for normal candidature period of study

Subsidized Fees

Singapore Citizens

Singapore Permanent Residents International Students

Nonsubsidised Fees (Inclusive of GST)

Per Annum

 10,200  20,200  25,500  37,236

The tuition fees listed is cited from the Singapore Institute of Technology website. SIT manages the financial portion of the Bachelor of Science programmes that TUM Asia conducts. For more information, please visit:


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CPE Reg. No. 200105229R | Registration Period 13.06.2017 - 12.06.2023